Engineering Jobs in Stoneham Middlesex County Ma Remote

Company Overview:

Berkshire Grey is a leader in AI-powered robotic solutions that automate fulfillment, supply chain, and logistics operations. Our technology transforms pick, pack, move, and sort operations to deliver unmatched efficiencies to customers in retail, eCommerce, and logistics. At Berkshire Grey, we drive productivity while reducing costs, creating exceptional customer experiences, and enabling better employee engagement.

Position Summary:

We are seeking a highly experienced Senior Manufacturing Engineer with 10+ years of experience in robotic or industrial systems to lead the development, deployment, and continuous improvement of advanced manufacturing processes. The ideal candidate brings deep technical expertise in automation and industrial robotics, along with demonstrated success managing contract manufacturers in complex production environments.

Experience in automotive or aerospace manufacturing environments is highly valued, particularly within structured quality systems and high-reliability production settings.

This role is responsible for driving scalable manufacturing strategies from prototype through full production, ensuring operational excellence across internal operations and external manufacturing partners.

Key Responsibilities:

• Lead the development, implementation, and optimization of manufacturing processes for robotic and automated systems.
• Serve as the primary technical interface between engineering and contract manufacturers (CMs).
• Own technical engagement with contract manufacturers (CMs), driving process readiness, production ramp, cost control, and quality performance.
• Lead product transfers from engineering to full-rate production, including external manufacturing partners.
• Establish and enforce robust manufacturing documentation packages (BOMs, work instructions, control plans, test procedures, tooling specifications).
• Drive DFM/DFA reviews to ensure products are optimized for scalable, cost-effective manufacturing.
• Lead manufacturing validation activities, including pilot builds, process capability studies, and PPAP (as applicable).
• Provide on-site support at CM facilities to resolve escalated production and quality issues.
• Lead structured root cause analysis and corrective action efforts (8D, A3, RCCA) across internal and external operations.
• Specify and implement tooling, fixtures, and automation solutions to improve repeatability and throughput.
• Drive continuous improvement initiatives focused on safety, quality, delivery, and cost.
• Ensure compliance with applicable industry quality standards and regulatory requirements.
• Mentor junior manufacturing engineers and technicians as needed.
• Frequent visits to our contract manufacturer in West Boyleston, MA
• Potential of occasional travel to other CMs and/or supplier sites

Required Qualifications:

• Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related field.
• 10+ years of manufacturing engineering experience in robotic, automation, automotive, aerospace, or industrial equipment environments.
• Significant experience working with and managing contract manufacturers, including new product introduction (NPI), production ramp, and sustaining operations.
• Proven experience transferring products from development to high-volume or high-reliability production.
• Hands-on experience with industrial robots (e.g., FANUC, ABB, KUKA, Yaskawa) and automated systems integration.
• Strong working knowledge of manufacturing processes including mechanical assembly, fabrication, machining, and system integration.
• Experience troubleshooting PLC-controlled systems and industrial controls.
• Experience operating within automotive (IATF 16949) or aerospace (AS9100) environments or equivalent structured quality systems.
• Proficiency in CAD tools and strong ability to interpret engineering drawings and GD&T.
• Demonstrated use of structured problem-solving methodologies (8D, A3, Six Sigma).

Preferred Qualifications:

• Experience with APQP, PPAP, FMEA, control plans, and formal production validation processes.
• Experience qualifying and auditing contract manufacturers.
• Experience in high-mix/low-volume or configurable industrial systems.
• Lean manufacturing and/or Six Sigma certification.
• Familiarity with ERP/MRP systems.
• Experience engaging and managing a Contract Manufacturer; new product introduction through full scale production.

Key Competencies:

• Strong technical leadership and ownership mindset.
• Ability to drive accountability with contract manufacturers while maintaining collaborative relationships.
• Ability to influence cross-functional teams and external partners.
• Systems-level thinking with focus on quality, reliability, and scalability.
• Strong communication and stakeholder management skills.
• Results-driven with a bias toward action and accountability.
• Bias toward action and continuous improvement mindset.
• Comfortable operating in a fast-paced, evolving manufacturing environment.

We Value:

• Experience in warehouse automation, robotics, or large-scale industrial systems.
• Familiarity with ISO 9001 or similar quality management frameworks.
• Experience scaling quality processes in a growing or fast-paced organization.
• Background in reliability engineering, field quality, or lifecycle quality management.

Why Berkshire Grey?

• Opportunity to work with cutting-edge AI-powered robotic solutions that are transforming the supply chain and logistics industry.
• A culture of innovation and collaboration, with a commitment to professional development and growth.
• Competitive compensation and comprehensive benefits package.

I acknowledge that Berkshire Grey is an Equal Opportunity Employer, and Berkshire Grey prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, and any other protected characteristic as outlined by state, federal or local laws.

I also acknowledge I have been informed that 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.

Salary Range: $90,000k- $115,000 (depending on experience)

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess’ patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world.

Research & development at Vaxess is cross-disciplinary, integrating mechanical, industrial, biomedical, and chemical engineering with chemistry, biology, and human factors to address important unmet medical needs. We are seeking a talented, collaborative, and highly motivated engineer to join our growing team. This role offers a unique opportunity to build manufacturing capacity from the ground up to bring innovative technology to the global vaccine and therapeutic market.

Responsibilities:

• Characterize and improve manufacturing process unit operations by designing, executing, and analyzing process development experiments; communicate results via written reports and oral presentations to internal and project teams
• Support manufacturing scale-up by assessing novel equipment, work flows, analytical techniques/PAT, and process configurations
• Support manufacturing operations by incorporating equipment and process improvements within established processes and equipment trains, and by revising manufacturing batch records, SOPs, and other controlled documents to reflect changes; contribute to implementing and maintaining Vaxess’ Quality System.
• Supervise and mentor junior engineer(s) and technicians, including a direct report
• Collaborate closely with cross-functional teams to support product development and manufacturing activities

Qualifications:

• BS in Mechanical Engineering, Biomedical Engineering, or a related discipline
• 2 – 7 years of relevant direct R&D experience within the medical device or biopharmaceutical industries; experience working on combination products is highly desirable
• Demonstrated success using empirical and first-principles models to inform and analyze experiments; experience with statistical methodologies and working with large data sets (e.g. Six Sigma, DoEs, multivariate techniques) is a plus
• Excellent time and project management skills and proven ability to meet goals and deadlines
• Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams
• Entrepreneurial spirit and drive to positively impact global human health

At Vaxess, we’re bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to

About the Role

The ideal candidate has hands-on experience in Cesium chloride (CsCl) density gradient ultracentrifugation, ion-exchange chromatography, affinity purification, and tangential flow filtration (TFF), with a strong understanding of purification principles and data analysis.

Responsibilities

• Execute purification processes including CsCl density gradient ultracentrifugation, affinity chromatography (e.g., AVB, CaptureSelect), ion-exchange chromatography (AEX, CEX), and other polishing steps.
• Operate AKTA systems (Avant, Pure, or Pilot) for small- to large-scale purification runs.
• Perform TFF operations for buffer exchange and concentration of intermediate or final products.
• Support experimental design, data collection, and documentation following established procedures and GMP/GLP best practices.
• Assist in troubleshooting and optimization of purification processes.
• Analyze in-process and purified samples using relevant analytical methods (e.g., UV, SDS-PAGE, ddPCR, ELISA, or HPLC).
• Collaborate cross-functionally with upstream, analytical, and manufacturing teams.
• Maintain lab equipment, manage buffers and column inventory, and ensure compliance with safety and documentation standards.

Qualifications

• Education: Master’s degree in biology, biochemistry, chemical engineering, biotechnology, or related field.
• Experience: Minimum 2 years of hands-on purification experience in an academic or industry setting.

Required Skills

• Strong knowledge and practical experience with CsCl density gradient ultracentrifugation, ion-exchange, and affinity chromatography.
• Familiarity with buffer preparation.
• Understanding of basic analytical methods for product characterization.

Preferred Skills

• Strong attention to detail and excellent documentation habits.
• Effective communication and teamwork skills.
• Ability to manage multiple tasks and meet project timelines.

Preferred Qualifications

• Experience in AAV or other viral vector CsCl density gradient and column purification.
• Experience with AKTA systems and Unicorn software.

Experience you will need:

• Ability to read and interpret construction drawings and specifications.
• Understanding of construction methods and materials.
• Proficiency in Excel and spreadsheets.
• Familiarity with CAD software preferred.
• Strong written and verbal communication skills.
• Degree in Construction Management, Engineering, Architecture, or related field preferred.
• Prior construction or estimating experience required.
• 7+ years of experience in Commercial Construction Estimating preferred.
• Minimum 3+ years estimating experience considered.

Company Description

Davis is a vertically integrated real estate investment, development and management firm that leverages five decades of experience, the strength of its leadership team and employees and a diversified portfolio to deliver maximum value for its investors and tenants. Headquartered in Boston and investing across the United States, Davis prides itself on taking a nimble, collaborative approach to delivering best-in-class results from complex opportunities. With $12.8 billion in gross asset value invested through real estate equity, debt and fixed-income securities, Davis today owns a real estate portfolio of approximately 15.2 million square feet of healthcare and life science, industrial, retail, office and hospitality properties and more than 5,800 residential units across the United States. For further information, visit & Responsibilities

Specific responsibilities will include, but are not limited to, the following:

• Ability to autonomously formulate a business plan in coordination with the Residential Vertical and execute all assigned investments involving development being performed directly and passively with oversight responsibilities.
• Strong leadership and people management skills with an ability to oversee team member(s) in the department; completion of tasks, meeting goals, and clear communication.
• Manage the deployment of internal personnel and outside consultants to ensure approved business plans are achieved.
• Improve and implement standard operating procedures relating to project management and reporting.
• Actively participate and contribute on acquisition decisions relating to projects that involve development components and provide support to the firm in assessing the feasibility of new project opportunities.
• Manage the development process from feasibility analysis to final completion including: site acquisition; planning, value engineering, design, and engineering; permitting; financing; marketing and leasing; and construction.
• Assemble, negotiate contracts, and coordinate the project team including: legal counsel; architects and engineers; consultants, general contractors; and other requisite development team members.
• Act as owner’s representative at all government and project related public meetings.
• Strong ability to coordinate programming and design of every aspect of the project including schematic, design development, and construction documents.
• Develop pro-formas, financial sensitivity analysis, budget projections, and critical path schedules.
• Communicate and consult with key internal team members in a regular and timely fashion on project progress, budget, and key issues in accordance with approved business plans.
• Oversee permitting and engineering for related off-site municipal improvements such as roadways and water/sewage improvement.
• Evaluate environmental issues and develop the proper solutions to address them.
• Maintain and cultivate relationships with JV partners and investors and lenders, including marketing development projects to financial partners.
• Represent the Company in the real estate community with respect to business development and other matters.
• Other related duties as assigned.

Skills & Qualifications

• Minimum of 7 years’ experience in real estate (including residential, retail, and/or hospitality), development and construction.
• Travel is expected to be minimal and will occur primarily on an as-needed basis for project or development activities outside of the Boston area.
• An advanced degree in real estate, engineering, construction, or related field.
• Strong experience in all aspects of the development process including planning, permitting, design, construction and finance.
• Proven ability to establish effective relationships with town officials, planning boards and neighborhood groups.
• Demonstrated development track record.
• Effective verbal, written and presentation skills.
• Knowledge of state and local politics and permitting procedures.
• Detail oriented with the ability to read, interpret, and modify plans.
• Prior experience in managing an external team.
• A team-oriented professional with creativity, initiative, and the breadth of real estate development experience.
• The ability to promote the organization to a variety of sophisticated audiences.
• Results-oriented attention to setting goals and getting things done – not merely delegating to others.
• Strategic, creative and analytically minded.
• Highly professional with strong interpersonal skills.
• Flexible, with the ability to work as a team player and relate well to colleagues at all levels of the organization.
• An individual who is organized, detail-oriented, has a sense of urgency
• Decisive, smart, and able to “think three-dimensionally”.
• Able to communicate effectively internally and externally.
• Honesty, integrity and maturity, and the ability to exercise discretion.
• A roll up your sleeves can-do attitude and strong work ethic.
• The ability to juggle multiple tasks, be a self-starter and maintain composure in a fast-paced work environment.
• The ability to be flexible in a dynamic, entrepreneurial environment with high level of energy, enthusiasm and positivity.

COMPENSATION

& BENEFITS:                   Base Salary Range: $210,000- $225,000

                                       Compensation will include a bonus and an attractive benefits package.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age (40 or older), marital status, sexual orientation, gender identity/expression, citizenship, real or perceived disability or handicap, genetic predisposition, veteran status, and/or any other protected category in accordance with applicable federal, state or local laws.

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