Codashop, ML Jobs in Usa
602 positions found — Page 37
B
Technical Writer
Salary not disclosed
About Arcticom Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services.
Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position: Technical Writer Location – Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Wage/Salary Range: $95,000-120,000 Applicants will be notified via phone or email within ten (10) business days of submittal.
Essential Duties & Responsibilities • Documentation of the Development Lifecycle o Analysis o Design o Development o Implementation o Evaluation o Maintenance • Produce high‑quality documentation for AI/ML systems, including API references, model usage guides, SDK documentation, architecture overviews, and integration tutorials • Designing and developing technical documentation for software and non-software systems • Create diagrams, flowcharts, and conceptual visuals to explain model architecture, data flows, and system interactions • Building interactive eLearning courses and storylines • Using eLearning software and authoring tools (e.g., Adobe Captivate, Advanced PowerPoint, Articulate, etc.) • Defining objectives and curriculum outlines • Document AI lifecycle processes such as data preparation, feature engineering, model training, evaluation, deployment, monitoring, and retraining • Developing technical documentation for technical writing for technical and non-technical users.
• Reviewing pertinent documentation (e.g., user stories, requirements, specifications, etc.) concerning the subject and topics to be documented • Analyzing documented requirements, developing supporting documentation and eliciting feedback from the subject matter experts, and the target audience from which the documentation is written (Developing specifications) • Analyzing and interpreting specifications from which technical documentation will be written • Developing technical procedures to support operational processing activities.
• Create or modify plans and procedures to create technical documentation, taking into consideration the requirements, intended use of the system, facility constraints and equipment, and need to involve system users.
• Developing and modifying procedural manuals.
Required (Minimum Necessary) Qualifications • Excellent written communication skills with the ability to simplify complex technical topics • Proficiency in MS product to include, but not limited to, MS Office, MS Project, and MS Visio • Strong understanding of machine learning fundamentals, including model types, training workflows, evaluation metrics, and deployment patterns • Ability to organize and facilitate planning and demonstrations • Able to write in explanatory and procedural styles for multiple audiences • Skilled at prioritization and multi-tasking Knowledge, Skills, Abilities, and Other Characteristics • Author, Plan, develop, organize, write, and edit complex IT network surveys, migration, design and implementation procedures, plans, and manuals • Research, develop and document technical design specifications and test scripts • Produce electronic documentation in addition to hard copies • Maintain a comprehensive library of technical terminology and documentation • Analyze documents to maintain continuity of style of content • Manage updates and revisions to technical literature • Maintain schedules of multiple deployed networking teams • Manage suspense system for all deliverables and ancillary documentation needs • Interview and collaborate with stakeholders to capture, develop, and write technical documentation, migration/integration/implementation plans, flowcharts, processes, technical orders, SOPs, and more ensuring accuracy, readability, and ease of use • Develop and write standardized technical tactics, techniques, and procedures • Establish standards and document review checklists • Understanding of project task-linked dependencies Preferred • N/A Supervisory Responsibilities • This position will not have supervisory responsibilities.
You may delete this line if it does not apply to the job.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
You may delete this line if it does not apply to the job.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily in a modern office setting.
Occasional travel may be required.
Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.
If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position: Technical Writer Location – Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Wage/Salary Range: $95,000-120,000 Applicants will be notified via phone or email within ten (10) business days of submittal.
Essential Duties & Responsibilities • Documentation of the Development Lifecycle o Analysis o Design o Development o Implementation o Evaluation o Maintenance • Produce high‑quality documentation for AI/ML systems, including API references, model usage guides, SDK documentation, architecture overviews, and integration tutorials • Designing and developing technical documentation for software and non-software systems • Create diagrams, flowcharts, and conceptual visuals to explain model architecture, data flows, and system interactions • Building interactive eLearning courses and storylines • Using eLearning software and authoring tools (e.g., Adobe Captivate, Advanced PowerPoint, Articulate, etc.) • Defining objectives and curriculum outlines • Document AI lifecycle processes such as data preparation, feature engineering, model training, evaluation, deployment, monitoring, and retraining • Developing technical documentation for technical writing for technical and non-technical users.
• Reviewing pertinent documentation (e.g., user stories, requirements, specifications, etc.) concerning the subject and topics to be documented • Analyzing documented requirements, developing supporting documentation and eliciting feedback from the subject matter experts, and the target audience from which the documentation is written (Developing specifications) • Analyzing and interpreting specifications from which technical documentation will be written • Developing technical procedures to support operational processing activities.
• Create or modify plans and procedures to create technical documentation, taking into consideration the requirements, intended use of the system, facility constraints and equipment, and need to involve system users.
• Developing and modifying procedural manuals.
Required (Minimum Necessary) Qualifications • Excellent written communication skills with the ability to simplify complex technical topics • Proficiency in MS product to include, but not limited to, MS Office, MS Project, and MS Visio • Strong understanding of machine learning fundamentals, including model types, training workflows, evaluation metrics, and deployment patterns • Ability to organize and facilitate planning and demonstrations • Able to write in explanatory and procedural styles for multiple audiences • Skilled at prioritization and multi-tasking Knowledge, Skills, Abilities, and Other Characteristics • Author, Plan, develop, organize, write, and edit complex IT network surveys, migration, design and implementation procedures, plans, and manuals • Research, develop and document technical design specifications and test scripts • Produce electronic documentation in addition to hard copies • Maintain a comprehensive library of technical terminology and documentation • Analyze documents to maintain continuity of style of content • Manage updates and revisions to technical literature • Maintain schedules of multiple deployed networking teams • Manage suspense system for all deliverables and ancillary documentation needs • Interview and collaborate with stakeholders to capture, develop, and write technical documentation, migration/integration/implementation plans, flowcharts, processes, technical orders, SOPs, and more ensuring accuracy, readability, and ease of use • Develop and write standardized technical tactics, techniques, and procedures • Establish standards and document review checklists • Understanding of project task-linked dependencies Preferred • N/A Supervisory Responsibilities • This position will not have supervisory responsibilities.
You may delete this line if it does not apply to the job.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
You may delete this line if it does not apply to the job.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily in a modern office setting.
Occasional travel may be required.
Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.
If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Not Specified
A
Specialist II - Data Science
Salary not disclosed
Job Title: Specialist II
- Data Science Location: Woodland Hills, CA Description: We are looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.
Strong programming skills in at least two of the following: Python, Java, Go.
Proficiency in deploying solutions on Azure Cloud.
Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).
Proven ability to design and manage Azure Functions and Azure Container Apps.
Strong understanding of cloud-native architecture, scalability, and performance optimization.
- Data Science Location: Woodland Hills, CA Description: We are looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering.
Strong programming skills in at least two of the following: Python, Java, Go.
Proficiency in deploying solutions on Azure Cloud.
Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus).
Proven ability to design and manage Azure Functions and Azure Container Apps.
Strong understanding of cloud-native architecture, scalability, and performance optimization.
Not Specified
D
Global Process Owner Procure to Pay
Salary not disclosed
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines.
With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders.
Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary The Global Process Owner (GPO) Procure to Pay is an enabler of successful transformation for a defined end-to-end process.
As the GPO, they are accountable for strategic decisions in driving end-to-end improvement and standardization in their respective end-to-end process across functions, business units and geographies (globally).
Global Process Owners act as key partners in shaping how business functions operate and evolve to meet Daiichi Sankyo's strategic priorities.
Global Process Owners help translate high-level corporate strategy into operational reality, driving sustainable business success.
They are also accountable for greater process transparency, process performance, improved controls, reduced error rates, better stakeholder alignment and efficient change management for process improvement efforts.
To be successful in this role, they must be able to think strategically; anticipate, analyze and solve complex problems; design and improve processes continuously; implement technology-enabled solutions; build strong relationships through excellent relationship building and communication; and navigate change with ease aligned with business needs.
The GPO demonstrates the ability to influence and drive alignment across diverse, cross-functional teams and stakeholders without direct line authority.
Navigates complex organizational dynamics by building trust, fostering collaboration, and leveraging strong communication and interpersonal skills to achieve shared goals.
Skilled at motivating and guiding teams through persuasion, consensus-building, and relationship management rather than formal hierarchical power.
The Global Process Owner (GPO) Purchase-to-Pay requires as key success factors:
- Comprehensive knowledge of the end-to-end Procure to Pay (P2P) process, including requisitioning, purchasing, invoice processing, payment, and supplier relationship management.
- Proven understanding of compliance requirements, internal controls, and regulatory standards relevant to procurement and finance within a global pharmaceutical environment.
- Familiarity with applicable IT systems and tools supporting P2P workflows, such as purchase order systems and ERP platforms.
- Ability to analyze process performance, identify improvement opportunities, and ensure alignment with corporate policies and procedures.
Job Description Responsibilities Ownership and Accountability Responsible for the end-to-end management and continuous improvement of a specific global process within the organization.
Process Design and Standardization Ensure that the process is designed to meet organizational goals and is standardized across all relevant regions and functions.
Architect and design cross-functional end-to-end process enforcing organization-wide consistency and standardization of the process.
Integrate requirements from all process participants including business/functional units and ensure best-possible process from an overarching company perspective.
Establish transparency on responsibilities of each function / unit for the full end-to-end process and ensure documentation is up to date Compliance and Governance Ensures that the process complies with applicable laws, regulations, and internal policies, including overseeing the creation, review, and approval of related global corporate documents.
Collaboration and Communication: Collaborate with various stakeholders including Compliance, Legal, Quality Assurance, and Business Process Owners to align process requirements and improvements.
Performance Monitoring Monitors process performance through key performance indicators (KPIs) and drives corrective actions to improve efficiency and effectiveness.
Define and monitor KPIs for end-to-end execution across functions and units for desired process outcome and performance by coordinating all process steps end-to-end.
Training and Support Facilitate training and provide guidance to ensure consistent process execution globally.
Document Management Oversee the development and maintenance of global corporate documents such as Global Corporate Policies (GCPOLs) and Global Administrative Operating Procedures (GCAOPs), ensuring proper use of templates and adherence to document lifecycle requirements.
These responsibilities ensure that the global processes are effectively managed and aligned with Daiichi Sankyo’s strategic objectives and compliance requirements.
Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree Relevant field (e.g., business or operations management) required Master's Degree preferred Experience Qualifications 7 or More Years relevant experience in Procurement / Finance sector, preferably with management experience be it direct or indirect required 7 or More Years Management experience be it direct or indirect preferred 5+ years people management experience preferred preferred Sound knowledge of finance processes, in particular procurement, accounting and invoice processing preferred Implemented technology-enabled solutions to support process improvements preferred Demonstrable experience in driving efficiency, enhancing processes, and strengthening policies at a strategic level, ensuring that operational practices are robust and future-proof preferred Experience in effectively partnering with teams specializing in RPA, AI and ML implementations preferred Previously shown flexibility to adapt to changing business needs and priorities preferred Experience improving processes through standardization, harmonization and automation preferred Proven track record of driving cost avoidance, cost reduction and value engineering initiatives that align to enterprise goals and develop operational excellence preferred Developed and experience in communicating comprehensive process strategies, securing buy-in from cross-functional internal teams and external partners preferred Licenses Qualifications CPA or advanced certifications in process management (e.g., Lean Six Sigma or Business Process Modelling and Notation) preferred Travel Requirements Ability to travel up to 10% of the time.
International travel to Regional GloBuS Regional Service Centres in Tokyo, Munich/Lisbon and Basking Ridge Additional Information Daiichi Sankyo, Inc.
is an equal opportunity/affirmative action employer.
Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Download Our Benefits Summary PDF
With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders.
Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
Job Summary The Global Process Owner (GPO) Procure to Pay is an enabler of successful transformation for a defined end-to-end process.
As the GPO, they are accountable for strategic decisions in driving end-to-end improvement and standardization in their respective end-to-end process across functions, business units and geographies (globally).
Global Process Owners act as key partners in shaping how business functions operate and evolve to meet Daiichi Sankyo's strategic priorities.
Global Process Owners help translate high-level corporate strategy into operational reality, driving sustainable business success.
They are also accountable for greater process transparency, process performance, improved controls, reduced error rates, better stakeholder alignment and efficient change management for process improvement efforts.
To be successful in this role, they must be able to think strategically; anticipate, analyze and solve complex problems; design and improve processes continuously; implement technology-enabled solutions; build strong relationships through excellent relationship building and communication; and navigate change with ease aligned with business needs.
The GPO demonstrates the ability to influence and drive alignment across diverse, cross-functional teams and stakeholders without direct line authority.
Navigates complex organizational dynamics by building trust, fostering collaboration, and leveraging strong communication and interpersonal skills to achieve shared goals.
Skilled at motivating and guiding teams through persuasion, consensus-building, and relationship management rather than formal hierarchical power.
The Global Process Owner (GPO) Purchase-to-Pay requires as key success factors:
- Comprehensive knowledge of the end-to-end Procure to Pay (P2P) process, including requisitioning, purchasing, invoice processing, payment, and supplier relationship management.
- Proven understanding of compliance requirements, internal controls, and regulatory standards relevant to procurement and finance within a global pharmaceutical environment.
- Familiarity with applicable IT systems and tools supporting P2P workflows, such as purchase order systems and ERP platforms.
- Ability to analyze process performance, identify improvement opportunities, and ensure alignment with corporate policies and procedures.
Job Description Responsibilities Ownership and Accountability Responsible for the end-to-end management and continuous improvement of a specific global process within the organization.
Process Design and Standardization Ensure that the process is designed to meet organizational goals and is standardized across all relevant regions and functions.
Architect and design cross-functional end-to-end process enforcing organization-wide consistency and standardization of the process.
Integrate requirements from all process participants including business/functional units and ensure best-possible process from an overarching company perspective.
Establish transparency on responsibilities of each function / unit for the full end-to-end process and ensure documentation is up to date Compliance and Governance Ensures that the process complies with applicable laws, regulations, and internal policies, including overseeing the creation, review, and approval of related global corporate documents.
Collaboration and Communication: Collaborate with various stakeholders including Compliance, Legal, Quality Assurance, and Business Process Owners to align process requirements and improvements.
Performance Monitoring Monitors process performance through key performance indicators (KPIs) and drives corrective actions to improve efficiency and effectiveness.
Define and monitor KPIs for end-to-end execution across functions and units for desired process outcome and performance by coordinating all process steps end-to-end.
Training and Support Facilitate training and provide guidance to ensure consistent process execution globally.
Document Management Oversee the development and maintenance of global corporate documents such as Global Corporate Policies (GCPOLs) and Global Administrative Operating Procedures (GCAOPs), ensuring proper use of templates and adherence to document lifecycle requirements.
These responsibilities ensure that the global processes are effectively managed and aligned with Daiichi Sankyo’s strategic objectives and compliance requirements.
Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree Relevant field (e.g., business or operations management) required Master's Degree preferred Experience Qualifications 7 or More Years relevant experience in Procurement / Finance sector, preferably with management experience be it direct or indirect required 7 or More Years Management experience be it direct or indirect preferred 5+ years people management experience preferred preferred Sound knowledge of finance processes, in particular procurement, accounting and invoice processing preferred Implemented technology-enabled solutions to support process improvements preferred Demonstrable experience in driving efficiency, enhancing processes, and strengthening policies at a strategic level, ensuring that operational practices are robust and future-proof preferred Experience in effectively partnering with teams specializing in RPA, AI and ML implementations preferred Previously shown flexibility to adapt to changing business needs and priorities preferred Experience improving processes through standardization, harmonization and automation preferred Proven track record of driving cost avoidance, cost reduction and value engineering initiatives that align to enterprise goals and develop operational excellence preferred Developed and experience in communicating comprehensive process strategies, securing buy-in from cross-functional internal teams and external partners preferred Licenses Qualifications CPA or advanced certifications in process management (e.g., Lean Six Sigma or Business Process Modelling and Notation) preferred Travel Requirements Ability to travel up to 10% of the time.
International travel to Regional GloBuS Regional Service Centres in Tokyo, Munich/Lisbon and Basking Ridge Additional Information Daiichi Sankyo, Inc.
is an equal opportunity/affirmative action employer.
Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Download Our Benefits Summary PDF
Not Specified
V
Cyber Security Lead
Salary not disclosed
Position Description The IT Cybersecurity Analyst is a key player in building and maturing a comprehensive, enterprise-wide cybersecurity program that protects VT’s operations, intellectual property, customer data, and digital assets in an increasingly complex threat landscape.
This role focuses on proactive threat detection, modern security architecture, and alignment of cybersecurity strategies with business objectives—especially as the company adopts AI-driven tools, agentic AI systems, cloud/OT convergence, and Industry 4.0 technologies.
Overall Responsibilities Design, implement, and continuously improve cybersecurity controls and architectures that defend against both current and emerging threats.
Support the integration of security into all technology initiatives, including cloud migrations, AI/agentic workflows, manufacturing OT/IoT environments, and customer-facing portals.
Stay ahead of evolving risks such as agentic AI compromise, AI-orchestrated attacks, supply-chain vulnerabilities, ransomware, and quantum-era threats, translating them into actionable defenses.
Essential Job Functions Proactively monitor networks, endpoints, cloud platforms, OT/IoT systems, and AI/agentic environments using advanced XDR, SIEM, SOAR, and behavioral analytics tools to detect and respond to threats in real time.
Deploy, tune, and maintain next-generation security technologies including Zero Trust architecture, SASE, EDR/XDR, privileged access management, cloud security posture management (CSPM), and container/Kubernetes security.
Lead incident response activities: investigate breaches, coordinate containment and recovery, prepare executive-level reports, and perform root-cause analysis.
Develop, recommend, and enforce updated cybersecurity policies, standards, and procedures that address modern risks (ransomware resilience, supply-chain security via SBOMs and third-party risk management, data loss prevention, and secure AI usage).
Collaborate closely with Systems, Network, Database, DevOps, and OT teams to embed security into the full technology stack, including endpoint, network, data, cloud (AWS/Azure/GCP), manufacturing systems, and customer portals.
Partner with development and application teams to embed security into the SDLC through DevSecOps practices, secure code reviews, and threat modeling for both traditional and AI/agentic applications.
Design and deliver engaging, role-specific cybersecurity awareness training programs that cover current threats (AI-enhanced phishing, deepfakes, business email compromise) and emerging challenges such as secure use of generative AI and autonomous agentic systems.
Own and continuously evolve the incident response and business continuity plans; conduct regular tabletop exercises, red-team simulations, and ransomware-specific drills.
Define, track, and present meaningful cybersecurity metrics and risk dashboards to leadership, highlighting program maturity, threat landscape changes, and business impact.
Research and evaluate up-and-coming security challenges, including: Agentic AI risks (prompt injection, memory poisoning, tool misuse, privilege escalation, and autonomous agent hijacking).
AI-orchestrated cyberattacks and adversarial ML techniques.
Supply-chain and third-party risk amplification.
Quantum computing threats and post-quantum cryptography readiness.
Expanded attack surface from IoT/OT convergence and cloud-native manufacturing systems.
Ensure ongoing compliance with relevant frameworks (NIST CSF 2.0, CIS Controls v8, MITRE ATT&CK, OWASP Top 10 for LLM/Agentic AI, ISO 27001, and applicable industry regulations).
Other duties as assigned.
Position Requirements Professional Characteristics Strong sense of ownership and accountability; consistently delivers high-quality results.
Self-motivated initiator with a proactive, solutions-oriented mindset and tireless work ethic.
Creative, visionary problem-solver who thrives on complexity and continuous improvement.
Rapid learner who quickly masters new technologies, tools, and threat vectors.
Excellent written and verbal communicator capable of translating technical concepts for non-technical stakeholders.
Collaborative team player who builds trust and partnerships across all levels of the organization.
Unwavering integrity, ethical standards, and commitment to confidentiality.
Business-minded professional with a customer-service focus—security enables, rather than hinders, operational excellence.
Qualifications Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (Master’s or relevant certifications strongly preferred).
3+ years of hands-on cybersecurity experience, ideally in a manufacturing or industrial environment.
Solid knowledge of modern operating systems (Windows, Linux), databases (SQL Server, Oracle, cloud-native), networking, and cloud platforms (AWS, Azure, GCP).
Demonstrated experience securing cloud environments, including IAM, CSPM, CASB, and serverless/container security.
Proficiency with current security tooling: EDR/XDR (Microsoft Defender, CrowdStrike, SentinelOne), SIEM/SOAR, PAM, vulnerability management, next-gen firewalls, WAF, and identity solutions (Entra ID, Zero Trust, MFA/conditional access).
Familiarity with Group Policy, Active Directory/Entra ID, and endpoint protection platforms.
Working knowledge of key frameworks: NIST, MITRE ATT&CK, CIS Controls, OWASP (including LLM/Agentic AI variants), and supply-chain security practices.
Understanding of emerging threats and technologies: agentic AI security, AI-driven attacks, ransomware tactics, supply-chain compromise, deepfakes, IoT/OT security, and post-quantum readiness.
Preferred certifications: CompTIA Security+, CISSP, CISM, CCSP, or equivalent.
Proven ability to establish and maintain effective relationships with internal teams, leadership, and external partners.
All team members must uphold VT Industries’ Code of Conduct and Attendance Policy.
Physical Requirements Tolerance for sitting long periods of time.
Possess finger dexterity to write, type, and use a calculator.
Maintain adequate vision to view small print and computer terminal.
Ability to speak and hear, walk throughout facilities with occasional light lifting (25 pounds), stooping, kneeling, crouching, and reaching with hands and arms required.
Ability to travel between multiple facilities as required to perform core job duties.
The physical demands described here are representative of those an employee encounters while performing the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits Comprehensive benefit package including, but not limited to, health, dental, and vision insurance 401(k) with company match, employee assistance program, flexible spending and health savings accounts, life insurance, short- and long-term disability insurance, paid time off/vacation, tuition reimbursement, and more!
This role focuses on proactive threat detection, modern security architecture, and alignment of cybersecurity strategies with business objectives—especially as the company adopts AI-driven tools, agentic AI systems, cloud/OT convergence, and Industry 4.0 technologies.
Overall Responsibilities Design, implement, and continuously improve cybersecurity controls and architectures that defend against both current and emerging threats.
Support the integration of security into all technology initiatives, including cloud migrations, AI/agentic workflows, manufacturing OT/IoT environments, and customer-facing portals.
Stay ahead of evolving risks such as agentic AI compromise, AI-orchestrated attacks, supply-chain vulnerabilities, ransomware, and quantum-era threats, translating them into actionable defenses.
Essential Job Functions Proactively monitor networks, endpoints, cloud platforms, OT/IoT systems, and AI/agentic environments using advanced XDR, SIEM, SOAR, and behavioral analytics tools to detect and respond to threats in real time.
Deploy, tune, and maintain next-generation security technologies including Zero Trust architecture, SASE, EDR/XDR, privileged access management, cloud security posture management (CSPM), and container/Kubernetes security.
Lead incident response activities: investigate breaches, coordinate containment and recovery, prepare executive-level reports, and perform root-cause analysis.
Develop, recommend, and enforce updated cybersecurity policies, standards, and procedures that address modern risks (ransomware resilience, supply-chain security via SBOMs and third-party risk management, data loss prevention, and secure AI usage).
Collaborate closely with Systems, Network, Database, DevOps, and OT teams to embed security into the full technology stack, including endpoint, network, data, cloud (AWS/Azure/GCP), manufacturing systems, and customer portals.
Partner with development and application teams to embed security into the SDLC through DevSecOps practices, secure code reviews, and threat modeling for both traditional and AI/agentic applications.
Design and deliver engaging, role-specific cybersecurity awareness training programs that cover current threats (AI-enhanced phishing, deepfakes, business email compromise) and emerging challenges such as secure use of generative AI and autonomous agentic systems.
Own and continuously evolve the incident response and business continuity plans; conduct regular tabletop exercises, red-team simulations, and ransomware-specific drills.
Define, track, and present meaningful cybersecurity metrics and risk dashboards to leadership, highlighting program maturity, threat landscape changes, and business impact.
Research and evaluate up-and-coming security challenges, including: Agentic AI risks (prompt injection, memory poisoning, tool misuse, privilege escalation, and autonomous agent hijacking).
AI-orchestrated cyberattacks and adversarial ML techniques.
Supply-chain and third-party risk amplification.
Quantum computing threats and post-quantum cryptography readiness.
Expanded attack surface from IoT/OT convergence and cloud-native manufacturing systems.
Ensure ongoing compliance with relevant frameworks (NIST CSF 2.0, CIS Controls v8, MITRE ATT&CK, OWASP Top 10 for LLM/Agentic AI, ISO 27001, and applicable industry regulations).
Other duties as assigned.
Position Requirements Professional Characteristics Strong sense of ownership and accountability; consistently delivers high-quality results.
Self-motivated initiator with a proactive, solutions-oriented mindset and tireless work ethic.
Creative, visionary problem-solver who thrives on complexity and continuous improvement.
Rapid learner who quickly masters new technologies, tools, and threat vectors.
Excellent written and verbal communicator capable of translating technical concepts for non-technical stakeholders.
Collaborative team player who builds trust and partnerships across all levels of the organization.
Unwavering integrity, ethical standards, and commitment to confidentiality.
Business-minded professional with a customer-service focus—security enables, rather than hinders, operational excellence.
Qualifications Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (Master’s or relevant certifications strongly preferred).
3+ years of hands-on cybersecurity experience, ideally in a manufacturing or industrial environment.
Solid knowledge of modern operating systems (Windows, Linux), databases (SQL Server, Oracle, cloud-native), networking, and cloud platforms (AWS, Azure, GCP).
Demonstrated experience securing cloud environments, including IAM, CSPM, CASB, and serverless/container security.
Proficiency with current security tooling: EDR/XDR (Microsoft Defender, CrowdStrike, SentinelOne), SIEM/SOAR, PAM, vulnerability management, next-gen firewalls, WAF, and identity solutions (Entra ID, Zero Trust, MFA/conditional access).
Familiarity with Group Policy, Active Directory/Entra ID, and endpoint protection platforms.
Working knowledge of key frameworks: NIST, MITRE ATT&CK, CIS Controls, OWASP (including LLM/Agentic AI variants), and supply-chain security practices.
Understanding of emerging threats and technologies: agentic AI security, AI-driven attacks, ransomware tactics, supply-chain compromise, deepfakes, IoT/OT security, and post-quantum readiness.
Preferred certifications: CompTIA Security+, CISSP, CISM, CCSP, or equivalent.
Proven ability to establish and maintain effective relationships with internal teams, leadership, and external partners.
All team members must uphold VT Industries’ Code of Conduct and Attendance Policy.
Physical Requirements Tolerance for sitting long periods of time.
Possess finger dexterity to write, type, and use a calculator.
Maintain adequate vision to view small print and computer terminal.
Ability to speak and hear, walk throughout facilities with occasional light lifting (25 pounds), stooping, kneeling, crouching, and reaching with hands and arms required.
Ability to travel between multiple facilities as required to perform core job duties.
The physical demands described here are representative of those an employee encounters while performing the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits Comprehensive benefit package including, but not limited to, health, dental, and vision insurance 401(k) with company match, employee assistance program, flexible spending and health savings accounts, life insurance, short- and long-term disability insurance, paid time off/vacation, tuition reimbursement, and more!
Not Specified
S
Entry level Machine learning engineer/Data scientist/Java Devops developer
Salary not disclosed
You have solved 500+ Leetcode Problems! —Still No Offers? Let’s Get You Hired with a plan which actually works.
You’ve done a ton of Leetcode.
You’ve racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you’re everything a tech company wants.
However tech stacks and requirement change every day.
Also, tech clients want in depth Tech stack knowledge and the school projects don’t make the cut.
Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k.
Synergisticit’s JOPP focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
That’s what we upskill on Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: The Market’s Changed—Have You? Develop and implement statistical predictive models and machine learning algorithms Develop predictive models and machine learning algorithms using advanced methodologies Develop statistical learning models for data analysis Design and develop data mining and machine learning models and algorithms Using machine learning and statistical techniques Develop statistical models for data analysis Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization Support analytics and machine learning model development Implement data driven business solutions using advanced statistical methods and machine learning techniques Clean and explore data and implement statistical/machine learning models Create machine learning data models that develop new insights over time Providing advanced predictive data analytics using big data and data science technology for healthcare innovation Generate analytics on big data Solve statistical, machine learning, analytical and data mining problems Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets Optimizing classifiers using machine learning techniques Building the coolest machine data analytics systems Using various types of algorithms and machine learning modeling techniques Define and develop machine learning and data mining strategies
You’ve done a ton of Leetcode.
You’ve racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you’re everything a tech company wants.
However tech stacks and requirement change every day.
Also, tech clients want in depth Tech stack knowledge and the school projects don’t make the cut.
Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k.
Synergisticit’s JOPP focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
That’s what we upskill on Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: The Market’s Changed—Have You? Develop and implement statistical predictive models and machine learning algorithms Develop predictive models and machine learning algorithms using advanced methodologies Develop statistical learning models for data analysis Design and develop data mining and machine learning models and algorithms Using machine learning and statistical techniques Develop statistical models for data analysis Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization Support analytics and machine learning model development Implement data driven business solutions using advanced statistical methods and machine learning techniques Clean and explore data and implement statistical/machine learning models Create machine learning data models that develop new insights over time Providing advanced predictive data analytics using big data and data science technology for healthcare innovation Generate analytics on big data Solve statistical, machine learning, analytical and data mining problems Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets Optimizing classifiers using machine learning techniques Building the coolest machine data analytics systems Using various types of algorithms and machine learning modeling techniques Define and develop machine learning and data mining strategies
Not Specified
S
Medical Laboratory Scientist/ Medical Lab Technician
Salary not disclosed
Description
:Medical Laboratory Scientist/Medical Technologist perform tests on blood and body fluids to determine the presence or absence of disease, monitor response to treatment and aid in health maintenance. Serves as a technical resource for lesser credentialed staff and assist in training new or lesser credentialed staff. Responsible to troubleshoot and address instrument issues and recognize need for service. Responsible to use critical thinking and clinical knowledge to assess questionable results and correlate with clinical information to determine accuracy. Medical Laboratory Scientist (MLS/MT)
Job Requirements
Education
Required: Bachelor's Degree must be obtained within 90 days OR High School Diploma or equivalent AND Grandfathered status under CLIA Regulations
Preferred: Completion of a medical technology program
Experience
N/A
Skills
Strong analytical/problem solving skills.
Ability to communicate effectively with different levels of management. Demonstrates clear verbal and written communication
Excellent time management, interpersonal, presentation, organization, prioritizing, decision-making, and planning skills.
Knowledge of current information technology and an ability to lead project teams to accomplish automation projects of large size and complexity.
Proficient in all Microsoft programs; high level proficiency in Excel.
Licensure/Certification/Registration
Required: Certified as a Medical Laboratory Scientist/Medical Technologist from either American Medical Technology (AMT), American Society of Clinical Pathologists (ASCP), or American Society of Clinical Pathologist – International (ASCPi).
Medical Lab Technician
Education
Required: Associates Degree OR completion of an accredited MLT Program
Experience
Preferred: 1 Year experience in a laboratory
Skills
Strong analytical/problem solving skills.
Ability to communicate effectively with different levels of management. Demonstrates clear verbal and written communication
Excellent time management, interpersonal, presentation, organization, prioritizing, decision-making, and planning skills.
Licensure/Certification/Registration
Required: Certified as a Medical Lab Technician from a nationally recognized laboratory certifying agency or eligible to sit for exam at time of hire; must obtain certification within 90 days of hire.
:Medical Laboratory Scientist/Medical Technologist perform tests on blood and body fluids to determine the presence or absence of disease, monitor response to treatment and aid in health maintenance. Serves as a technical resource for lesser credentialed staff and assist in training new or lesser credentialed staff. Responsible to troubleshoot and address instrument issues and recognize need for service. Responsible to use critical thinking and clinical knowledge to assess questionable results and correlate with clinical information to determine accuracy. Medical Laboratory Scientist (MLS/MT)
Job Requirements
Education
Required: Bachelor's Degree must be obtained within 90 days OR High School Diploma or equivalent AND Grandfathered status under CLIA Regulations
Preferred: Completion of a medical technology program
Experience
N/A
Skills
Strong analytical/problem solving skills.
Ability to communicate effectively with different levels of management. Demonstrates clear verbal and written communication
Excellent time management, interpersonal, presentation, organization, prioritizing, decision-making, and planning skills.
Knowledge of current information technology and an ability to lead project teams to accomplish automation projects of large size and complexity.
Proficient in all Microsoft programs; high level proficiency in Excel.
Licensure/Certification/Registration
Required: Certified as a Medical Laboratory Scientist/Medical Technologist from either American Medical Technology (AMT), American Society of Clinical Pathologists (ASCP), or American Society of Clinical Pathologist – International (ASCPi).
Medical Lab Technician
Education
Required: Associates Degree OR completion of an accredited MLT Program
Experience
Preferred: 1 Year experience in a laboratory
Skills
Strong analytical/problem solving skills.
Ability to communicate effectively with different levels of management. Demonstrates clear verbal and written communication
Excellent time management, interpersonal, presentation, organization, prioritizing, decision-making, and planning skills.
Licensure/Certification/Registration
Required: Certified as a Medical Lab Technician from a nationally recognized laboratory certifying agency or eligible to sit for exam at time of hire; must obtain certification within 90 days of hire.
Not Specified
Principal SA, Agentic Transformation, WWSO EAMM
🏢 Amazon
Salary not disclosed
AWS is seeking a Principal Solutions Architect for Agentic Transformation to lead the technical architecture and implementation strategy for helping enterprises modernize legacy applications into intelligent, autonomous systems. This role combines deep technical expertise in cloud architecture, application modernization, and AI/ML systems with the ability to influence C-level technical executives on transformation roadmaps that deliver measurable business outcomes. The ideal candidate brings proven experience architecting enterprise-scale solutions, exceptional technical credibility with senior stakeholders, and a track record of thought leadership through published content and industry presentations.
This position requires hands-on solution architecture across assessment frameworks, reference architectures, implementation patterns, and technical enablement programs. You will design comprehensive modernization-to-agentic transformation architectures spanning mainframe modernization, containerization, microservices decomposition, data foundation establishment, and autonomous workflow implementation. The role demands someone who can architect solutions for the most complex customer scenarios, translate business requirements into technical designs, create reusable patterns that scale through field teams and partners, and establish AWS as the definitive technical destination for enterprises evolving into intelligent, autonomous organizations.
As a Principal SA, you will take complete ownership of the technical relationship between customers and AWS, working directly with CTOs, CIOs, and Chief Architects to influence how technology drives organizational transformation. You will serve as the primary technical authority during complex sales cycles, establish technical credibility for the AWS platform, and bridge customer needs with AWS service evolution through direct engagement with product teams.
Key job responsibilities
- Architect end-to-end solutions for enterprise agentic transformation encompassing legacy application modernization, data foundation establishment , and autonomous workflow implementation using Amazon Bedrock and AWS AI services
- Design and validate reference architectures, implementation patterns, and technical frameworks for the modernization-to-agentic journey, ensuring solutions leverage AWS's 200+ services while meeting enterprise requirements for security, scalability, and reliability
- Engage directly with C-level technical executives (CTOs, CIOs, Chief Architects) to facilitate technical architecture discussions, conduct architecture reviews, and provide strategic guidance on transformation roadmaps that enable intelligent automation adoption
- Develop technical thought leadership content including white papers, architecture blogs, reference implementations, and technical best practices guides that establish repeatable patterns for agentic transformation at scale
- Create comprehensive technical enablement programs for AWS Solutions Architects covering architecture patterns, implementation methodologies, service selection frameworks, and hands-on workshops that build field team capabilities
- Lead technical discovery and assessment activities with enterprise customers to evaluate existing architectures, identify modernization requirements, map business workflows to autonomous agent opportunities, and develop detailed technical transformation roadmaps
- Collaborate with AWS service teams to translate customer technical requirements into product roadmap input and mentor Solutions Architects across the organization
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 10+ years of software engineering with a proven track record of leading large-scale projects experience
- 8+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience
- 7+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience engaging and influencing C-level executives, both business and technical
- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture
- Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists)
- Experience in operational excellence, security compliance, and distributed systems resiliency- Master's degree in Computer Science, Computer Engineering, or related fields
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience presenting to both technical and non-technical executive audiences
- Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
- Experience as a mentor, tech lead or leading an engineering team, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
- Knowledge of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , TX, Austin - 182,8 ,300.00 USD annually
USA, WA, Seattle - 182,8 ,300.00 USD annually
This position requires hands-on solution architecture across assessment frameworks, reference architectures, implementation patterns, and technical enablement programs. You will design comprehensive modernization-to-agentic transformation architectures spanning mainframe modernization, containerization, microservices decomposition, data foundation establishment, and autonomous workflow implementation. The role demands someone who can architect solutions for the most complex customer scenarios, translate business requirements into technical designs, create reusable patterns that scale through field teams and partners, and establish AWS as the definitive technical destination for enterprises evolving into intelligent, autonomous organizations.
As a Principal SA, you will take complete ownership of the technical relationship between customers and AWS, working directly with CTOs, CIOs, and Chief Architects to influence how technology drives organizational transformation. You will serve as the primary technical authority during complex sales cycles, establish technical credibility for the AWS platform, and bridge customer needs with AWS service evolution through direct engagement with product teams.
Key job responsibilities
- Architect end-to-end solutions for enterprise agentic transformation encompassing legacy application modernization, data foundation establishment , and autonomous workflow implementation using Amazon Bedrock and AWS AI services
- Design and validate reference architectures, implementation patterns, and technical frameworks for the modernization-to-agentic journey, ensuring solutions leverage AWS's 200+ services while meeting enterprise requirements for security, scalability, and reliability
- Engage directly with C-level technical executives (CTOs, CIOs, Chief Architects) to facilitate technical architecture discussions, conduct architecture reviews, and provide strategic guidance on transformation roadmaps that enable intelligent automation adoption
- Develop technical thought leadership content including white papers, architecture blogs, reference implementations, and technical best practices guides that establish repeatable patterns for agentic transformation at scale
- Create comprehensive technical enablement programs for AWS Solutions Architects covering architecture patterns, implementation methodologies, service selection frameworks, and hands-on workshops that build field team capabilities
- Lead technical discovery and assessment activities with enterprise customers to evaluate existing architectures, identify modernization requirements, map business workflows to autonomous agent opportunities, and develop detailed technical transformation roadmaps
- Collaborate with AWS service teams to translate customer technical requirements into product roadmap input and mentor Solutions Architects across the organization
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.- 10+ years of software engineering with a proven track record of leading large-scale projects experience
- 8+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience
- 7+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience engaging and influencing C-level executives, both business and technical
- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture
- Experience writing high-quality technical content for technical audiences (e.g., engineers, developers, scientists)
- Experience in operational excellence, security compliance, and distributed systems resiliency- Master's degree in Computer Science, Computer Engineering, or related fields
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience presenting to both technical and non-technical executive audiences
- Experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda, or experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS
- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
- Experience as a mentor, tech lead or leading an engineering team, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
- Knowledge of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , TX, Austin - 182,8 ,300.00 USD annually
USA, WA, Seattle - 182,8 ,300.00 USD annually
Not Specified
Senior Domain Expert Lead- STEM (Contract), AGI - Data Services
🏢 Amazon
Salary not disclosed
**This is an experimental role to support a business pilot and can potentially span up to 12 months**
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
contract
P
Retail Team Member - Urgently Hiring
Salary not disclosed
Flynn Group entered the Panera system in 2015 with the acquisition of 47 cafes. Since then, we have more than tripled in size to become the 2nd largest Panera franchisee in the world and continue to grow by building new stores and acquiring other franchise operators.
Flynn Panera is a franchisee of Panera Bread. Flynn Panera is built on a decentralized business model, which means that each geographic area is led by a Market Leader. Reporting to the ML are Area Directors, who are multiple unit operators, responsible for the overall functions of the cafés in their areas. Reporting to the Area Directors are the General Managers, who are the chief Cafe managers responsible for the overall running of their café. Aiding the management of the Cafe are Assistant Managers, who are responsible for running of their departments and who help with every-day management responsibilities. Rounding out the cafe leadership are Team Managers.
We strive to hire only the best, starting with our leadership. Our leaders within Flynn Panera have over 190+ years of experience in the restaurant industry, and 60+ years with Flynn Group.
We are one of seven premier brands of Flynn Group, which was founded in 1999 by Greg Flynn. It has grown since then to the largest franchise operator in the world. Flynn owns and operates a diversified portfolio of restaurants in iconic, world class brands across diverse segments, including Applebee’s, Arby’s, Panera Bread, Pizza Hut, Taco Bell, Wendy’s and Planet Fitness. Our primary mission is to be the premier operator within each of these brands. We will achieve this by focusing on our core values; Care Genuinely for People, Play like a Champion, and Win as One.
Position Description
Our Panera Bread cafes are upscale, friendly cafes which feature baked breads and pastries. We serve made-to-order soups, salads and sandwiches as well as specialty espresso beverages.
No Fryers and No Late Nights. We’re known for our artisan breads, quality soups, salads and sandwiches which results in a grease and alcohol-free environment for our associates. As a manager, this means no late nights, but we do hope you’re a morning person.
We take pride in every aspect of our work and perform it with energy and enthusiasm. We need strong team players, with a commitment to serving our guests and creating the warm and friendly atmosphere that Panera is known for.
As a Retail Team Member, you will be responsible for the providing excellent customer service for our guests while ensuring a clean, fast, and friendly café environment. A Retail Team Member is trained to listen to our guest’s needs, and deliver it — fast, accurate and with a friendly smile.
What else is in it for you? A lot! Competitive pay, meal discounts, insurance options, daily pay program, career growth opportunities and flexible scheduling. We're passionate about you and want you on our team!
Physical Standards:
- Must be able to stand and exert well-paced mobility for up to ten (10) hours in length.
- Must have the ability to safely lift pots, pans, glassware, boxes, etc. up to 50 pounds in weight.
- Must be able to read and write to facilitate communication.
- Must possess finger and hand dexterity for using small tools and equipment.
The associate is responsible for performing the essential responsibilities of this position with or without reasonable accommodation. The associate should notify Flynn Panera of any reasonable accommodation requests and may need to provide supporting medical documentation. This job description may not list all duties for this position and the associate in this position may be required to perform other duties to meet business needs. Flynn Panera, reserves the right to revise this job description at any time. This job description is not a contract for employment, and either the associate or Flynn Panera may terminate employment at any time.
Why Work for Flynn Panera?
Flynn Panera is a growing franchise within Flynn Group that offers stability, opportunity for advancement as well as a great environment, training and benefits. We are committed to helping each employee work and live to their fullest potential within a culture you won’t want to quit!
Flynn Group is an equal opportunity employer. We are committed to creating a diverse and inclusive workforce and providing reasonable accommodations/adjustments for individuals with disabilities. If you require any accommodation or adjustments throughout the application process, please let us know. We look forward to reviewing your application and potentially welcoming you to our premier team!
Flynn Panera is a franchisee of Panera Bread. Flynn Panera is built on a decentralized business model, which means that each geographic area is led by a Market Leader. Reporting to the ML are Area Directors, who are multiple unit operators, responsible for the overall functions of the cafés in their areas. Reporting to the Area Directors are the General Managers, who are the chief Cafe managers responsible for the overall running of their café. Aiding the management of the Cafe are Assistant Managers, who are responsible for running of their departments and who help with every-day management responsibilities. Rounding out the cafe leadership are Team Managers.
We strive to hire only the best, starting with our leadership. Our leaders within Flynn Panera have over 190+ years of experience in the restaurant industry, and 60+ years with Flynn Group.
We are one of seven premier brands of Flynn Group, which was founded in 1999 by Greg Flynn. It has grown since then to the largest franchise operator in the world. Flynn owns and operates a diversified portfolio of restaurants in iconic, world class brands across diverse segments, including Applebee’s, Arby’s, Panera Bread, Pizza Hut, Taco Bell, Wendy’s and Planet Fitness. Our primary mission is to be the premier operator within each of these brands. We will achieve this by focusing on our core values; Care Genuinely for People, Play like a Champion, and Win as One.
Position Description
Our Panera Bread cafes are upscale, friendly cafes which feature baked breads and pastries. We serve made-to-order soups, salads and sandwiches as well as specialty espresso beverages.
No Fryers and No Late Nights. We’re known for our artisan breads, quality soups, salads and sandwiches which results in a grease and alcohol-free environment for our associates. As a manager, this means no late nights, but we do hope you’re a morning person.
We take pride in every aspect of our work and perform it with energy and enthusiasm. We need strong team players, with a commitment to serving our guests and creating the warm and friendly atmosphere that Panera is known for.
As a Retail Team Member, you will be responsible for the providing excellent customer service for our guests while ensuring a clean, fast, and friendly café environment. A Retail Team Member is trained to listen to our guest’s needs, and deliver it — fast, accurate and with a friendly smile.
What else is in it for you? A lot! Competitive pay, meal discounts, insurance options, daily pay program, career growth opportunities and flexible scheduling. We're passionate about you and want you on our team!
Physical Standards:
- Must be able to stand and exert well-paced mobility for up to ten (10) hours in length.
- Must have the ability to safely lift pots, pans, glassware, boxes, etc. up to 50 pounds in weight.
- Must be able to read and write to facilitate communication.
- Must possess finger and hand dexterity for using small tools and equipment.
The associate is responsible for performing the essential responsibilities of this position with or without reasonable accommodation. The associate should notify Flynn Panera of any reasonable accommodation requests and may need to provide supporting medical documentation. This job description may not list all duties for this position and the associate in this position may be required to perform other duties to meet business needs. Flynn Panera, reserves the right to revise this job description at any time. This job description is not a contract for employment, and either the associate or Flynn Panera may terminate employment at any time.
Why Work for Flynn Panera?
Flynn Panera is a growing franchise within Flynn Group that offers stability, opportunity for advancement as well as a great environment, training and benefits. We are committed to helping each employee work and live to their fullest potential within a culture you won’t want to quit!
Flynn Group is an equal opportunity employer. We are committed to creating a diverse and inclusive workforce and providing reasonable accommodations/adjustments for individuals with disabilities. If you require any accommodation or adjustments throughout the application process, please let us know. We look forward to reviewing your application and potentially welcoming you to our premier team!
permanent
AS II - Profitability Sci, Profit Intelligence
🏢 Amazon
Salary not disclosed
Profit Intelligence (PI) team in Amazon , owning Amazon's core profitability prediction system, is looking for an ambitious Senior Applied Scientist to build the next generation of profitability science for Amazon.
As an AS II in PI, you will partner closely with science leadership, business stakeholders, applied scientists, economists, and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high-velocity, high-quality profitability decisions for both short term and long term. You will utilize massive data, state-of-the-art scientific computing, econometrics, time-series forecasting, and machine-learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers. The team is unique in its exposure to company-wide strategies, and operates at the research frontier of utilizing data, machine-learning, artificial intelligence to inform business profitability strategies.
Key job responsibilities
1) Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors).
2) Experiments and prototype implementations of new machine learning algorithms and prediction techniques, with a capacity for dealing with a high-level of ambiguity.
3) Partners with scientists, engineers, product managers, and stockholders to use data and model driven approach to influence business decisions
4) Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables- 2+ years of building models for business application experience
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience in prediction and forecasting in a research or industrial environment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 142,8 ,200.00 USD annually
As an AS II in PI, you will partner closely with science leadership, business stakeholders, applied scientists, economists, and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high-velocity, high-quality profitability decisions for both short term and long term. You will utilize massive data, state-of-the-art scientific computing, econometrics, time-series forecasting, and machine-learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers. The team is unique in its exposure to company-wide strategies, and operates at the research frontier of utilizing data, machine-learning, artificial intelligence to inform business profitability strategies.
Key job responsibilities
1) Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors).
2) Experiments and prototype implementations of new machine learning algorithms and prediction techniques, with a capacity for dealing with a high-level of ambiguity.
3) Partners with scientists, engineers, product managers, and stockholders to use data and model driven approach to influence business decisions
4) Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables- 2+ years of building models for business application experience
- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience in prediction and forecasting in a research or industrial environment
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , WA, Seattle - 142,8 ,200.00 USD annually
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