ZipRecruiter

Log In

1

Senior Full Stack Machine Learning Engineer Jobs in Massachusetts

Motion Recruitment

Full Stack Engineer

Cambridge, MA · On-site

Full-time, onsite opportunity for a Senior or Staff Full Stack Engineer based in Central Square ... and machine learning teams to deliver customer-facing features • Debug and resolve complex ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$124K - $149K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... Work closely with senior engineers and machine learning engineers to translate model prototypes ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...

Dice

Full Stack Python Developer

Quincy, MA · On-site

Job Summary : Dice is seeking a Senior Full Stack Python Developer with experience in network infrastructure to join their development team. The role involves building scalable solutions for ...

C the Signs

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 ...

C the Signs

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 ...

next page

Showing results 1-20

All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Massachusetts

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 Machine Learning Engineer jobs near you
Senior Full Stack Platform Engineer

Senior Full Stack Platform Engineer

Realtime Robotics

Boston, MA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

We're redefining how robots are deployed. Our platform enables users to simulate, test, and optimize entire robotic systems in parallel. By removing the barriers that have kept advanced robotics out of reach for all but the largest players, we're ushering in a new era of manufacturing—one where mass reshoring is not only viable, but inevitable.

We are seeking a skilled Senior Full-stack Engineer to join our team in a full-time position. Reporting to the Director of Platforms, you will work on projects that require expertise in both front-end and back-end development, specifically using React, Next.js, and AWS services. Your role will involve developing, implementing, and maintaining full-stack web applications with a focus on scalable multi-tenant distributed systems architecture.

  • Help build a distributed cloud platform that powers robotic simulation, deployment, and analytics workflows across customer environments.
  • Collaborate with product and UX to break down ambiguous problems and deliver intuitive and performant user experiences for complex technical workflows.
  • Contribute to the technical design for major platform features and services with consideration for security, scalability, reliability, maintainability, and developer productivity.
  • Design and implement backend application services, APIs, and asynchronous workflows that power core platform functionality.
  • Improve observability, monitoring, analytics, and operational tooling across the platform.
  • Mentor other engineers through design reviews, code reviews, and technical guidance.
  • Identify and address technical debt, performance bottlenecks, and reliability risks proactively.
  • Contribute to engineering standards, deployment practices, and system architecture evolution.
  • Contribute to frontend architecture and implementation using React and Next.js.

Requirements

Requirements
  • 5+ years building and operating production full-stack or backend-heavy applications in collaborative engineering environments.
  • All candidates must be legally authorized to work in the United States now and in the future.
  • Strong experience designing and implementing scalable backend services, APIs, and data models for production systems.
  • Experience operating cloud-native systems in AWS, including observability, monitoring, deployment workflows, and reliability considerations.
  • Experience contributing to architectural decisions and evaluating tradeoffs around scalability, maintainability, and performance.
  • Strong understanding of relational and/or NoSQL databases, including indexing, query optimization, schema evolution, and data access patterns.
  • Demonstrated ability to debug complex production issues across distributed systems and frontend/backend boundaries.
  • Experience mentoring engineers through code reviews, technical discussions, and collaborative development practices.
  • Strong proficiency in TypeScript and React, with experience working within large multi-contributor codebases.
  • Experience with infrastructure-as-code (CDK, Terraform) and CI/CD workflows.
  • Familiarity with distributed systems concepts such as concurrency, retries, consistency, and fault tolerance.
Preferred
  • Experience working in environments subject to security or compliance requirements such as SOC 2, ISO 27001, or similar standards.
  • Experience integrating with enterprise identity platforms using OAuth2, OpenID Connect, SAML, or SCIM.
  • Experience with role-based or attribute-based access control systems for multi-tenant applications.
  • Experience with multi-cloud or cloud-agnostic architectural patterns

Benefits

  • Competitive Healthcare Coverage
  • Unlimited PTO
  • Commuting Expenses Covered
  • Telecommunications Stipend
  • 401k Match
  • HSA Employer Contribution

Realtime Robotics, Inc. located at 27 Wormwood St Ste 110, Boston, MA 02210 is an equal opportunity employer.