Engineering Jobs in Grapevine Hybrid

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

The Manager - Software Quality Engineering is responsible for ensuring that quality standards are met on all materials coming into the warehouse and all products going to customers. This position plays a critical role in establishing and ensuring adherence to shop quality standards, procedures, techniques and continuous improvement. The LQAC works directly with internal and external suppliers, QACs at other facilities and corporate QA personnel. They are also a key driver of resourcing, troubleshooting, root cause analysis and participating in continuous process improvement/lean manufacturing project initiatives. Attendance, as scheduled, is an essential function of this job.

Major Activities

• Develops, implements, communicates and maintains the company’s Quality Management System (QMS). Formulates and manages the development and implementation of goals, objectives, policies, procedures and systems pertaining to the QMS and ensure that the established objectives are communicated to all team members and that advances or declines in achieving those goals are also regularly reported.
• Sets up and maintains controls and documentation procedures including Standard Operating Procedures (SOPs) and Setup Parameters. Organizes documents into an easy to use and fast retrieval system so team members can find procedures quickly and conform to requirements.
• Explains quality process compliance to others using a variety of instructions furnished in written, oral, diagram or schedule form to help others understand, follow and conform to established best practices. Conducts root cause analysis as needed.
• Serves as the company’s liaison to assembly plant peers (QACs) and ensures the execution of corrective action and compliance with company specifications.
• Participates in weekly sourcing team and CAF staff meetings.
• Notifies production leadership and GM immediately of nonconformity.
• Prepares and presents a quarterly quality report for leadership team review. Obtains feedback from team member meetings and other such interactions and incorporates the action in moving the quality program forward.
• Maintains master control samples and step samples in a clean and protected environment.
• Builds and maintains good working relationships with assembly plant peers and all internal manufacturing team members and managers.
• Cross-trains into other positions and provides support to other production teams and functions as needed.

Other duties as assigned

Minimum Education

• Bachelor's degree, or equivalent experience

Minimum Special Certifications or technical skills

• Must be proficient in MS Word and Excel and production database systems.

Minimum Type of experience the job requires

• 7-8 years quality assurance experience
• Manufacturing with specific focus on wood finishing, chemicals and/or quality control experience in a manufacturing environment.

Other

• Must be detailed oriented and accurate.
• Must have a keen sense of urgency.
• Must have strong verbal communication and interpersonal skills including coaching, collaborating, and providing constructive feedback.
• Must be able to critically analyze problems and develop effective solutions.
• Must be able to manage multiple priorities/projects simultaneously and the flexibility to work overtime when needed.

Preferred Education

• BA/BS -Business, Engineering, or other applicable course of study

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at and . The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-8 MICHAEL).

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Lead Android Engineer

Contract to Hire

Hybrid – Onsite in Irving, TX (75063) Tue–Thu; Remote Mon & Fri

Our Fortune 500 retail client is seeking a hands-on Lead Android Engineer to drive technical excellence and innovation across their mobile platform. This role will help evolve a mature Android application while delivering high-quality experiences that support millions of customers across eCommerce, loyalty, personalization, and product launches.

The team is focused on differentiating the mobile app from the web experience through personalized content, contextual assistance, and intelligent upsell opportunities. This role requires someone who has made architectural decisions, influenced technical direction, and led implementation — not just executed against predefined designs.

This is not a pure architect role, but it requires strong architectural judgment combined with deep hands-on development expertise.

Key Responsibilities

• Serve as a hands-on technical leader within the Android team.
• Design, build, and enhance Android applications using Kotlin and Jetpack Compose.
• Make informed architectural decisions within an established Android application using MVVM and Clean Architecture principles.
• Guide the implementation of new features in alignment with scalable, maintainable architecture standards.
• Partner closely with the Mobile Architect while owning day-to-day technical decision-making for the Android team.
• Act as the go-to technical resource for Android engineers, helping answer implementation questions and remove blockers.
• Integrate and manage third-party SDKs and libraries, understanding dependency management, versioning conflicts, and potential performance implications.
• Implement API integrations and evaluate libraries needed to support new functionality.
• Contribute to proof-of-concepts (POCs) that explore innovative mobile capabilities and customer engagement strategies.
• Develop personalization features that differentiate the app experience from the web.
• Implement and optimize push notification capabilities to drive engagement and upsell opportunities.
• Strengthen application stability by implementing unit tests and embedding automated quality checks within the CI/CD pipeline from the Android codebase.
• Participate in production incident management and provide technical leadership during issue resolution.
• Conduct thorough PR reviews, promote code quality standards, and ensure proper documentation.
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve efficiency and elevate engineering practices.
• Stay current with Android ecosystem trends and proactively recommend improvements.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
• 7+ years of hands-on Android development experience.
• 5+ years of Kotlin development experience.
• Strong experience with Jetpack Compose.
• Proven experience making architectural decisions within an existing Android application.
• Hands-on experience implementing MVVM and Clean Architecture principles.
• Experience integrating third-party SDKs and adding libraries within complex Android projects.
• Experience implementing REST API integrations and managing dependencies.
• Strong unit testing experience and experience improving application stability.
• Experience contributing to accessibility (ADA) improvements.
• Hands-on experience with Google Play Console, including publishing and maintaining Android applications.
• Experience working in Agile development environments.
• Must be authorized to work in the U.S. without sponsorship and able to convert to a full-time W-2 employee upon completion of the contract.

Technical Skills

• Kotlin, Android Studio, Jetpack Compose
• MVVM, Clean Architecture
• Hilt, Gradle
• JSON, REST APIs
• SDK & third-party library integration
• Firebase, Crashlytics, Adobe Analytics, Google Analytics
• Push Notifications
• CI/CD integrations at the Android application level
• AI-assisted development tools (e.g., GitHub Copilot)

Work Environment

• Hybrid schedule (Irving, TX)
• On-call support may be required.
• Occasional weekend or evening work may be required.

*Final compensation will be determined based on experience, skills, and location*

Role Overview

The Vice President of Engineering is a senior technology leader responsible for driving J.Hilburn’s digital product architecture, engineering strategy, and execution. This role combines strategic vision, people leadership, and delivery discipline to ensure technology is a growth enabler across all business functions.

The VP partners closely with the Product Management organization to translate business strategy into scalable, secure, and high-performing technology solutions - including the next-generation Stylist iOS App, eCommerce platform, and enterprise systems.

Core Accountabilities and Responsibilities

Strategic Leadership & Vision

• Define and execute J.Hilburn’s technology strategy aligned with corporate goals and long-term growth initiatives.
• Collaborate with the CTO and executive leadership team on system modernization, scalability, and security.
• Provide architectural oversight across all digital systems to ensure reliability, maintainability, and integration.
• Set measurable OKRs that link engineering delivery to business outcomes.
• Build a culture of innovation, technical excellence, and accountability across all engineering disciplines.

Stylist App Vision & Execution

• Partner with the Product Manager to define and execute the roadmap for the Stylist App, ensuring it supports Stylist productivity, order management, and client engagement.
• Lead engineering execution to deliver scalable, performant, and feature-rich App experiences aligned with stylist needs and company goals.
• Mentor the UI/UX Designer to ensure success in creating creative, guided, and intuitive user experiences that reflect the Stylist journey from client onboarding to order completion.
• Collaborate with the Product Manager and Designer to ensure every release balance creativity, usability, and technical feasibility.
• Drive data-informed iteration — incorporating Stylist feedback, analytics, and usability insights to continuously refine the experience.
• Oversee technical architecture to ensure App reliability, security, and scalability for future features and integrations.
• Partner with the Product Manager to monitor key performance indicators (adoption rate, order efficiency, and Stylist engagement).
• Champion cross-functional collaboration between Product, Design, and Engineering to deliver seamless and Stylist-first digital solutions.

Product Partnership & Sprint Management

• Partner with the Product Owner to lead IT sprint planning, backlog prioritization, and iterative delivery.
• Ensure Agile ceremonies and sprint cycles are data-driven and outcome-focused, improving velocity and delivery consistency.
• Balance the development of new features with technical debt reduction and infrastructure improvements.
• Maintain alignment between product priorities and engineering capacity to ensure predictable delivery.
• Lead sprint performance reviews to evaluate velocity, defect rates, and completion metrics (targeting 90%+ sprint completion).
• Drive cross-functional communication to manage risks, dependencies, and changes proactively.

Engineering Management & Organizational Leadership

• Lead and scale a multidisciplinary team including software engineers, DevOps, QA, IT operations, and UI/UX design.
• Mentor engineering leaders to strengthen their management, planning, and technical leadership capabilities.
• Implement frameworks for performance reviews, growth planning, and technical development.
• Build a culture of continuous learning, ownership, and cross-team collaboration.
• Oversee IT resource planning, budgeting, and vendor management to support delivery excellence.

Operational Performance

• Ensure the reliable and secure operation of all technology platforms with 99.9% uptime.
• Drive system modernization, cloud migration, and automation initiatives to improve scalability and resilience.
• Oversee CI/CD implementation, automated testing, and monitoring best practices.
• Define and enforce coding standards, documentation practices, and architectural frameworks.
• Manage risk and compliance through proactive IT governance, security, and incident management.

Required Knowledge, Skills and Abilities

• Strong strategic thinking and business acumen — able to translate company vision into technical execution.
• Deep understanding of Agile delivery and sprint-based workflows.
• Excellent leadership, communication, and influence across technical and non-technical stakeholders.
• Proven track record of leading modernization, architecture evolution, and scaling technology organizations.
• Committed to fostering collaboration, mentorship, and an inclusive engineering culture.

Required Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 10+ years of software engineering experience, with at least 5+ years in engineering management or executive leadership roles.
• Proven experience managing Agile/Scrum teams and collaborating closely with Product Owners and Designers.
• Expertise in .NET / .NET Core, Swift, RESTful APIs, SQL Server, and cloud-based infrastructure.
• Experience leading mobile-first and eCommerce platform development at scale.
• Demonstrated success in building and maturing high-performing engineering organizations.

Travel

• Minimal; occasional travel for leadership meetings, conferences, or vendor visits.

*** WE ARE NOT SEEKING ASSISTANCE FROM ANY STAFFING AGENCIES. ALL RECRUITMENT FOR THIS ROLE WILL BE DONE IN-HOUSE***

We are seeking a highly skilled Senior Splunk Enterprise Security Engineer to join our dynamic Security Engineering & Architecture team in Irving, TX. This is an exciting opportunity to lead the deployment, optimization, and administration of our Splunk Enterprise Security (ES) platform within a cloud-based environment. The ideal candidate will have extensive hands-on experience with Splunk ES, cloud security platforms, and a deep understanding of SIEM operations at an enterprise scale. This role offers a chance to work in a complex, high-volume environment and make a significant impact on the organization’s security infrastructure.

Job Title: Senior Splunk Security Engineer

Job Location: Irving, TX 75063

Job Duration: 12 Months with possible extension

Comments: The candidate must have hands-on Splunk expertise, with a minimum of 5+ years specific to Splunk Enterprise Security.

Additional Skills: Splunk Enterprise Security Administrator, Splunk Cloud Administrator.

Job Description:

We are seeking a Senior Splunk Enterprise Security Engineer to join our Security Engineering & Architecture team in Irving, TX. In this high-impact individual contributor role, you will own the deployment, optimization, and day-to-day administration of our Splunk Enterprise Security (ES) platform across a cloud-based environment supporting one of the largest retail operations in the country.

You will be the go-to subject matter expert for Splunk ES, partnering with SOC analysts, threat intelligence teams, compliance stakeholders, and IT leadership to ensure our security monitoring platform delivers maximum visibility, reliability, and value. This is a hands-on, technically deep role for someone who thrives in complex, high-volume environments and takes pride in building resilient security infrastructure.

Responsibilities:

• Lead the end-to-end administration of Splunk Enterprise Security across a cloud-hosted (AWS/Azure/GCP) deployment, including architecture decisions, capacity planning, performance tuning, and version upgrades.
• Design, implement, and maintain ES frameworks including notable event configurations, risk-based alerting, asset and identity correlation, and threat intelligence integrations.
• Develop and optimize correlation searches, dashboards, and investigation workflows to reduce alert fatigue and accelerate analyst response times.
• Drive data source onboarding and ensure CIM (Common Information Model) compliance for new and existing log sources across the enterprise.
• Partner with compliance teams to ensure Splunk ES configurations directly support PCI DSS, SOX, and NIST CSF audit and reporting requirements.
• Establish and maintain health monitoring for the Splunk environment, including search performance, indexing throughput, forwarder connectivity, and license utilization.
• Create and maintain operational documentation, runbooks, and knowledge base articles for Splunk ES administration and troubleshooting.
• Serve as the escalation point for complex Splunk issues and participate in incident response efforts during critical security events as needed.
• Evaluate and recommend new Splunk apps, add-ons, and integrations that strengthen the organization’s security posture.
• Collaborate with Security Architecture peers to align Splunk ES capabilities with the broader security tooling ecosystem and long-term technology roadmap.

Required Skills:

• 5+ years of hands-on experience with Splunk platform administration, with significant depth in Splunk Enterprise Security.
• Active Splunk certifications required: Splunk Enterprise Certified Admin and/or Splunk ES Certified Admin.
• Proven experience managing Splunk deployments in cloud environments (AWS, Azure, or GCP).
• Deep understanding of security monitoring, log management, SIEM operations, and event correlation at enterprise scale.
• Working knowledge of PCI DSS, SOX, and NIST CSF compliance frameworks and how they translate into SIEM use cases and reporting requirements.
• Strong SPL (Search Processing Language) proficiency, including complex statistical commands, lookups, macros, and data models.
• Experience with Splunk infrastructure components: indexers, search heads, heavy/universal forwarders, deployment servers, and cluster management.
• Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Desired Skills:

• Experience in large-scale retail or similarly complex, high-transaction-volume environments.
• Familiarity with Splunk SOAR (formerly Phantom) and security automation/orchestration workflows.
• Background in detection engineering, threat hunting, or SOC operations.
• Additional certifications such as CISSP, GIAC (GCIA, GCIH), or cloud security credentials (AWS Security Specialty, AZ-500).
• Experience with Infrastructure as Code (Terraform, Ansible) for Splunk deployment management.
• Scripting proficiency in Python, Bash, or PowerShell for automation and custom integrations.

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry leading practices. ProSidian services focus on the broad spectrum of Risk Management, Compliance, Business Process, IT Effectiveness, Energy & Sustainability, and Talent Management. We help forward thinking clients solve problems and improve operations.

Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies of all sizes. Our Services are deployed across the enterprise, target drivers of economic profit (growth, margin and efficiency), and are aligned at the intersections of assets, processes, policies and people delivering value.

ProSidian clients represent a broad spectrum of industries to include but are not limited to Energy, Manufacturing, Chemical, Retail, Healthcare, Telecommunications, Hospitality, Pharmaceuticals, Banking & Financial Services, Transportation, Federal and State Government Agencies.

ProSidian Seeks a Administrative Support IV - Operations headquartered near CONUS - Washington, DC (Remote) to support requirements for Energy & Environmental Management Industry (Nuclear | Oil & Gas | Power & Utilities | Distribution Engineering) Sector Clients.

This CONUS - Washington, DC (Remote) | Junior Consultant - Full-Time position currently best aligns with the Administrative Support Labor Category. Ideal candidates exhibit the ability to visualize, analyze, and convert data and experiences to meet performance challenges while confidently engaging in productive \"Jugaad\" and dialogue targeting mission success. ProSidian Team Members work to provide Energy Industry (Oil & Gas / Power & Utilities) Sector related Management And Operations Consulting Solutions for Nuclear Industry Advisory and Assistance (A&A) Services Support (Support to Fuel Cycle Campaigns) Services on behalf of The US Department of Energy (DOE-ID).

Administrative Support IV - Operations (NOA051) Candidates shall work to support requirements for (Operations Services) and Provides administrative support to technical and management level personnel. Includes, but is not limited to, project administration, planning and coordination, documentation and briefing support, general office support, secretarial support, human resource support.

Examples of General Responsibilities

• Coordinates and plans project / office administration and support.
• Provides general office support, documentation support, project administration, administrative and secretarial support, and human resource support.
• Supports project financial tracking and reporting requirements including project control and account resolution
• Performs other administrative and support functions as assigned.

Administrative Level IV Candidates shall have relevant Energy & Environmental Management Industry (Nuclear | Oil & Gas | Power & Utilities | Distribution Engineering) Sector Experience particularly with background, experience, and credentials to perform Nuclear Industry Advisory and Assistance (A&A) Services Support (Support to Fuel Cycle Campaigns) for Engineering Services on behalf of clients such as U.S. Dept. Of Energy Idaho Operations Office - Nuclear Energy's (NE) Office of Fuel Cycle Technologies supplemented by a High School or Equivalent Education and 10 Yrs. - 12 Yrs. Experience.

Teamwork ability to foster teamwork collaboratively as a participant, and effectively as a team leader Leadership ability to guide and lead colleagues on projects and initiatives Business Acumen understanding and insight into how organizations perform, including business processes, data, systems, and people Communication ability to effectively communicate to stakeholders of all levels orally and in writing Motivation persistent in pursuit of quality and optimal client and company solutions Agility ability to quickly understand and transition between different projects, concepts, initiatives, or work streams Judgment exercises prudence and insight in decision-making process while mindful of other stakeholders and long-term ramifications Organization ability to manage projects and activity, and prioritize tasks

Business Tools understanding and proficiency with business tools and technology, including Microsoft Office. The ideal candidate is advanced with Excel, Access, Outlook, PowerPoint and Word, and proficient with Adobe Acrobat, data analytic tools, and Visio with the ability to quickly learn other tools as necessary. Commitment - to work with smart, interesting people with diverse backgrounds to solve the biggest challenges across private, public and social sectors Curiosity the ideal candidate exhibits an inquisitive nature and the ability to question the status quo among a community of people they enjoy and teams that work well together Humility exhibits grace in success and failure while doing meaningful work where skills have impact and make a difference Willingness - to constantly learn, share, and grow and to view the world as their classroom

ProSidian Employee Benefits and Highlights: Your good health and well-being are important to ProSidian Consulting. At ProSidian, we invest in our employees to help them stay healthy and achieve work-life balance. That's why we are also pleased to offer the Employee Benefits Program, designed to promote your health and personal welfare. Our growing list of benefits currently include the following for Full Time Employees:

Competitive Compensation: Pay range begins in the competitive ranges with Group Health Benefits, Pre-tax Employee Benefits, and Performance Incentives. For medical and dental benefits, the Company contributes a fixed dollar amount each month towards the plan you elect. Contributions are deducted on a Pre-tax basis. Group Medical Health Insurance Benefits: ProSidian partners with BC/BS, to offer a range of medical plans, including high-deductible health plans or PPOs. Group Dental Health Insurance Benefits: ProSidian dental carriers - Delta, Aetna, Guardian, and MetLife. Group Vision Health Insurance Benefits: ProSidian offers high/low vision plans through 2 carriers: Aetna and VSP. 401(k) Retirement Savings Plan: 401(k) Retirement Savings Plans help you save for your retirement for eligible employees. A range of investment options are available with a personal financial planner to assist you. The Plan is a pre-tax Safe Harbor 401(k) Retirement Savings Plan with a company match. Vacation and Paid Time-Off (PTO) Benefits: Eligible employees use PTO for vacation, a doctor's appointment, or any number of events in your life. Currently these benefits include Vacation/Sick days 2 weeks/3 days | Holidays - 10 ProSidian and Government Days are given. Pre-Tax Payment Programs: Pre-Tax Payment Programs currently exist in the form of a Premium Only Plan (POP). These Plans offer a full Flexible Spending Account (FSA) Plan and a tax benefit for eligible employees. Purchasing Discounts & Savings Plans: We want you to achieve financial success. We offer a Purchasing Discounts & Savings Plan through The Corporate Perks Benefit Program. This provides special discounts for eligible employees on products and services you buy on a daily basis. Security Clearance: Due to the nature of our consulting engagements there are Security Clearance requirements for Engagement Teams handling sensitive Engagements in the Federal Marketplace. A Security Clearance is a valued asset in your professional portfolio and adds to your credentials. ProSidian Employee & Contractor Referral Bonus Program: ProSidian Consulting will pay up to 5k for all referrals employed for 90 days for candidates submitted through our Referral Program. Performance Incentives: Due to the nature of our consulting engagements there are performance incentives associated with each new client that each employee works to pursue and support. Flexible Spending Account: FSAs help you pay for eligible out-of-pocket health care and dependent day care expenses on a pre-tax basis. Supplemental Life/Accidental Death and Dismemberment Insurance: If you want extra protection for yourself and your eligible dependents, you have the option to elect supplemental life insurance. D&D covers death or dismemberment from an accident only. Short- and Long-Term Disability Insurance: Disability insurance plans are designed to provide income protection while you recover from a disability.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION