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Senior Full Stack Machine Learning Engineer Jobs in Massachusetts

Senior Full Stack Engineer

Cambridge, MA · On-site +1

$120K - $160K/yr

Owl Labs is looking for a Senior Full Stack Engineer to build customer-facing product experiences ... Strong learning and growth mindset -- you are continuously sharpening your skills across the stack ...

Senior Full Stack Engineer

Boston, MA · On-site +1

$120K - $160K/yr

Owl Labs is looking for a Senior Full Stack Engineer to build customer-facing product experiences ... Strong learning and growth mindset -- you are continuously sharpening your skills across the stack ...

Senior Full Stack Engineer

Somerville, MA · On-site +1

$120K - $160K/yr

Owl Labs is looking for a Senior Full Stack Engineer to build customer-facing product experiences ... Strong learning and growth mindset -- you are continuously sharpening your skills across the stack ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

You won't be a cog in a machine here. Every person on the team has direct influence over the ... We're Hiring Open PositionsSenior Full Stack EngineerLocation Somerville, MA (Boston area) - work ...

Showing results 41-60

Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Massachusetts?

The most popular types of Full Stack Machine Learning Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities in Massachusetts with the most Senior Full Stack Machine Learning Engineer job openings:

Senior Full Stack Engineer(React, Node.JS)

Linus Health

Boston, MA • On-site

$155 - $175/hr

Other

Medical, Retirement, PTO

Posted 15 days ago


Job description

Senior Full Stack Engineer(React, Node.JS) About this position

Linus Health is a Boston-based digital health company focused on transforming brain health for people across the world. By advancing how we detect and address cognitive and brain disorders – leveraging cutting‑edge neuroscience, clinical expertise, and artificial intelligence – our goal is to enable a future where people can live longer, happier, and healthier lives with better brain health.

About the role

As a Senior Full stack Software Engineer you will be a core team member responsible for driving the design, development, and delivery of complex software systems. By combining deep front end technical expertise with strong backend API design abilities you will drive secure, performant implementations with your fellow team members toward high-impact outcomes. Influence API and database design decisions, front end technical direction, and ensure the scalability, reliability, and maintainability of software solutions. Collaborate closely with cross‑functional partners—including product managers, designers, and other engineers—to align technical initiatives with business goals. Mentor and coach other engineers, fostering growth, best practices, and a culture of technical excellence within the organization.

What you'll do
  • Build full stack applications upon restful services, ensuring performant, scalable, observable, maintainable solution in collaboration with Software Architect.
  • Lead by example with hands‑on coding, code reviews, full stack feature design, while also anticipating long‑term challenges such as system performance, technical debt, and evolving technology stacks.
  • Advance AI‑assisted usage by championing best practices and practical applications for AI‑assisted code generation ensuring speed gains are paired with validation, security, and reliability.
  • Uphold best practices for testing (unit, integration, snapshot, e2e), CI/CD pipelines, code quality, and observability in all solutions.
  • Collaborate with other engineers across projects using excellent written and verbal communication skills with a proactive mindset to deliver on the goals of the team.
  • Collaborate cross‑functionally with Software Architect, Product, Design, Data Science/Medical, and Security to translate requirements into elegant, maintainable solutions that meet our customer’s needs.
About You Must Haves
  • 5+ years of software engineering experience with significant expertise in React framework and Node.
  • 3+ years building restful services including database design in Node.
  • Familiarity with AI‑assisted development workflows, and proven ability to accelerate development workflows through practical application.
  • Proficiency in frontend performance optimization (bundle splitting, lazy loading, caching strategies, rendering patterns).
  • Strong communication skills—able to drive consensus, document decisions (ADRs, RFCs), and present tradeoffs clearly to technical and non‑technical stakeholders.
Nice to Have's
  • Experience with mobile development in React Native or iOS/Swift.
  • Exposure to data visualization libraries (D3, Victory, Recharts, or native iOS charting).
  • Previous work in digital health or regulated environments (EHRs, HIPAA, GDPR).
  • Experience with Temporal orchestration.
  • Experience with Aurora Postgres, database design.
  • Experience / familiarity with Java services.
How You Embody Our Values
  • Be Real: communicate technical tradeoffs and risks candidly across teams.
  • Be Wise: guide design choices using data, metrics, and long‑term thinking.
  • Be Noble: uphold high standards for API responsiveness, production observability, and customer data privacy in every decision.
  • Be a Team: enable engineers to succeed through mentorship, documentation, and open collaboration.
  • Be Masters of Our Craft: set exemplary standards for API quality, performance, and maintainability (including AI‑assisted workflows).
  • Think Big and Act Bold: lead bold initiatives like public API development that transform how we interface with the broader healthcare ecosystem.
Compensation

The base salary budgeted for this position is in the $155,000‑175,000 range per year. This position will also include a yearly target discretionary bonus as well as equity, health benefits, unlimited PTO, a monthly flex day, a 401(k) plan with a match and more. The final offer determined for the candidate who is hired into this position will depend on a number of factors, including, but not limited to, the candidate’s relevant skills, professional experience, labor market conditions, etc.

Equal Opportunity

Linus Health is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, religion, color, national origin, sexual orientation, gender, gender identity or expression, age, genetic information, disability or any characteristic protected by law. We believe that diversity is critical to the growth of our company and understand the importance of fostering an environment where everyone has a voice. We are also committed to providing reasonable accommodations for candidates with disabilities during the recruiting process.

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