Engineering Journal Jobs in Woonsocket Rhode Island Remote

The ideal candidate is a critical thinker who will proactively improve the quality systems of the company through internal audits, participation in process improvement programs, and interaction with key partners to obtain constructive feedback. 

• Develop standardized production, quality, and customer-service standards
• Identify potential risks before they become a problem, focusing on root cause analysis and preventive action
• Perform internal and external quality audits and compile detailed reports of findings
• Build a strong team through coaching, mentoring, specific training and performance evaluations

Qualifications

• Bachelor's degree or equivalent experience in Engineering
• 5+ years' relevant work experience
• Highly organized with excellent attention to detail

We are seeking individuals to review and provide feedback on everyday money-management tips. This role focuses on common financial challenges such as managing expenses, reducing spending, and making smarter financial choices.

You will review examples of budgeting methods and evaluate practical ideas people use to stretch their income. The goal is to understand which approaches work best for real households.

The work is flexible and fully online. Applicants should have an interest in budgeting, saving money, or improving financial habits.

No formal finance background is required.

Hanna Instruments, a worldwide leader and manufacturer of scientific instrumentation, is seeking a full-time Technical Program Manager (Embedded Systems) for our R&D team in Woonsocket, RI or Acton, MA office. The Technical Program Manager (Embedded Systems)will be responsible to lead the development of complex, connected instrumentation products involving embedded firmware, hardware, cloud platforms, and mobile/web applications.

This individual will serve as both Technical Project Manager and Scrum Master, responsible for managing multiple software and system development projects, facilitating Agile processes, and ensuring clear, complete, and traceable system and software requirements.

The ideal candidate has strong technical depth and Systems Engineering experience and is comfortable working directly with embedded software engineers, hardware engineers, cloud developers, and product management to deliver secure, reliable, and high-quality connected products.

This role plays a critical part in ensuring successful integration of hardware, firmware, connectivity, and cloud systems.

Key Responsibilities:

Project Leadership and Execution

• Lead multiple concurrent embedded software and system development projects from concept through release
• Develop and maintain detailed project plans, schedules, milestones, and resource allocations
• Track progress and ensure projects are delivered on time and within scope
• Identify project risks and develop mitigation plans
• Provide regular project status updates to stakeholders and leadership
• Coordinate release planning and cross-team dependencies

Agile Scrum Leadership

Serve as Scrum Master for multiple software teams:

• Facilitate Agile ceremonies, including:
• Sprint Planning
• Daily Standups
• Sprint Reviews
• Retrospectives
• Backlog Refinement
• Maintain Jira boards and sprint backlogs
• Track team velocity and project progress
• Identify and remove blockers
• Help drive Agile best practices and continuous improvement

Systems Engineering and Requirements Management

Support full system development involving hardware and software:

Develop and manage:

• System Requirements Specifications (SyRS)
• Software Requirements Specifications (SRS)
• Functional Specifications
• User stories and acceptance criteria

Ensure requirements are:

• Clear
• Complete
• Testable
• Traceable
• Support system architecture definition and interface documentation
• Assist with system-level planning and integration

Hardware and Software Integration

Coordinate development across:

• Embedded firmware teams
• Hardware engineering teams
• Cloud software teams
• Mobile and web application teams
• Test and QA teams
• Product management
• Ensure alignment between hardware and software deliverables and schedules.
• Understand and manage dependencies between hardware and firmware development.

Technical Documentation and Project Proposals

• Write and maintain project proposals and technical project documentation
• Translate business and product requirements into actionable engineering requirements
• Support product planning and roadmap development
• Ensure proper documentation throughout the development lifecycle

Connectivity, Cloud, and Cybersecurity Coordination

Support development of connected products involving:

• Ethernet and network connectivity
• Cloud communication and integration
• Secure communication protocols
• Remote firmware update capability
• Coordinate activities related to system integration and release readiness.

Verification and Validation Support

• Support development of system and software test plans
• Coordinate integration and system testing activities
• Help ensure readiness for product release

Required Qualifications & Experience:

• 5+ years’ experience managing software or embedded systems development projects
• 3+ years working in Agile / Scrum environments
• Experience serving as Scrum Master for engineering teams
• Experience managing multiple complex technical projects simultaneously
• Ability to be on-site full-time in our Woonsocket, RI or Acton, MA office.
• If in Acton office, ability to commute to Woonsocket 1-2 days a week is required.

Technical Background

Strong technical understanding of:

• Embedded software development
• Hardware and software integration
• Connected or IoT products
• Networking fundamentals (Ethernet, TCP/IP, etc.)
• Software development lifecycle
• Must be comfortable working directly with software and hardware engineers on technical topics.

Tools

Experience with:

• Jira
• Confluence

Skills

• Strong technical communication skills
• Excellent organizational and planning skills
• Ability to write clear technical requirements and documentation
• Strong problem-solving skills
• Ability to manage complex, cross-functional projects

Preferred Qualifications

• Systems Engineering experience supporting hardware and embedded software products
• Experience managing embedded firmware development
• Experience managing IoT or connected products
• Experience writing system and software requirements specifications
• Scrum Master Certification (CSM, PSM, or equivalent)
• Engineering or Computer Science degree
• Experience working with connected instrumentation, industrial, or regulated products

We offer a competitive salary and a comprehensive benefits package.

• 10+ years of experience in software engineering
• Proficient in Python with experience building tools using widely adopted libraries such as Pandas, NumPy, Requests, BeautifulSoup, FastAPI, and SQLAlchemy
• Skilled in packaging, testing, and deploying Python applications using tools like pytest, setuptools, and Docker
• Hands-on experience designing, deploying, and managing cloud-native applications using AWS services (e.g., EC2, Lambda, S3, RDS, CloudFormation), with a strong grasp of scalable and secure architecture principles.
• Experience designing and operating DevOps platforms including CI/CD pipelines, infrastructure as code (e.g., Terraform, Jenkins), and container orchestration using ECS or EKS - Experience designing and operating monitoring, logging, and performance optimization tools (e.g., OpenSearch, Open Telemetry, CloudWatch, X-Ray)
• Excellent written and verbal communication
• Attention to detail, self-discipline, and passion to drive and innovate
• Must be comfortable with test-driven development, continuous integration, and agile development methodologies using tools like GIT, Artifactory, and Jenkins
• Experience working with offshore development teams is a plus
• Bachelor's degree in computer science, engineering, math, or related field, or equivalent experience is preferred

Estimated Min Rate: $140,000.00
Estimated Max Rate: $165,000.00
What's In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: working/work at home options are available for this role.

*At Securian Financial the internal position title is Data Science Sr Con.*

Position Overview

As a Lead Data Scientist at Securian Financial, you are a recognized expert and technical leader within the organization. You will apply deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives. You seek to understand first, build scalable solutions that drive strategic growth and value, and thrive in a collaborative, teamwork-oriented environment.

You will play a key role in advancing our enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization. Our company values innovation, collaboration, and excellence, and we offer a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized.

Key Responsibilities

• Design, develop, and productionize advanced machine learning and AI models in partnership with data engineering and software engineering teams.

• Establish and promote MLOps best practices, including experiment tracking, model versioning, reproducibility, CI/CD, and model monitoring using tools such as MLflow and DSpy.

• Lead the design and evaluation of AI and generative AI solutions, including LLM-based systems, and agent-based workflows.

• Collaborate with cross-functional team to identify, prioritize, and deliver high-impact, data-driven solutions.

• Communicate complex analytical and model-driven insights to technical and non-technical audiences through clear narratives, reports, and presentations.

• Ensure model quality, robustness, and regulatory alignment through rigorous testing, validation, and explainability techniques.

• Drive adoption of enterprise standards for data science, machine learning, and responsible AI.

• Identify opportunities for process improvements and automation using advanced analytics and AI techniques.

• Lead and mentor more junior data scientists, providing guidance and support in their professional development while working on projects.

Preferred Qualifications

• A Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• At least 5 years of experience in data science or a related field, with a minimum of 2 years in a project leadership role.

• Experience building and deploying production solutions

• Experience with MLOps tools and practices, including MLflow (or similar) for experiment tracking and model management.

• 2+ years of experience in Insurance, actuarial, or a related field

• Proficiency in programming languages such as Python

• Strong expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Solid understanding of statistical analysis, data visualization, data wrangling techniques, NLP approaches, ML model selection.

• Solid understanding of model approaches to satisfy regulatory requirements regarding explainability/interpretability of advanced AI/ML models

• Excellent problem-solving skills and the ability to think critically and analytically.

• Strong communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.

• Demonstrated ability to manage multiple projects and prioritize tasks effectively.

• A passion for continuous learning and staying current with industry trends and developments.

Preferred Skills

• Experience with natural language processing (NLP), LLMs, prompt engineering, and advanced ML models.

• Familiarity with modern ML debugging, evaluation, and optimization tools such as DSpy or equivalent.

• Knowledge of responsible AI practices, including bias detection, fairness assessment, and model risk management.

• Knowledge of data governance and data privacy regulations.

• Background in finance, healthcare, or other specialized industries.

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes), you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

What We Offer  

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

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