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Senior Full Stack Machine Learning Engineer Jobs in Massachusetts

The Senior Full Stack Software Engineer will architect and engineer core software that impacts the global economy, focusing on real-time robot code and machine learning systems. Responsibilities ...

Senior Machine Learning Engineer

Boston, MA ยท On-site

$170K - $205K/yr

... full lifecycle. If you care about impact and want to help define the future of applied AI in health ... Background in multimodal or stacked models, especially combining CV outputs with tabular data.

Senior Full Stack Software Engineer

Boston, MA ยท On-site +1

$160K - $210K/yr

About the Role A growing technology startup is hiring a Senior Full Stack Software Engineer to help build and scale its core product. This engineer will work across the frontend and backend ...

The Senior Full Stack Engineer is involved in all stages of software development. This includes front-end development, back-end development, database integrations, network and hosting management ...

The Senior Full Stack Engineer is involved in all stages of software development. This includes front-end development, back-end development, database integrations, network and hosting management ...

The Senior Full Stack Engineer is involved in all stages of software development. This includes front-end development, back-end development, database integrations, network and hosting management ...

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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 Software Engineer

Tutor

Watertown, MA โ€ข On-site

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Tutor Intelligence is building technology and processes for robots to operate in American factories, combining human and artificial intelligence. The Senior Full Stack Software Engineer will architect and engineer core software that impacts the global economy, focusing on real-time robot code and machine learning systems.
Responsibilities:
โ€ข Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops
โ€ข Involvement in new project planning
Qualifications:
Required:
โ€ข Strong programming skills in Python
โ€ข Software engineering tooling: git, unix shell, etc
โ€ข Collaborative nature and social skill set
โ€ข Interest in robotics, AI, solving hard problems, or improving the future of humanity
โ€ข Passion for building things (and just getting stuff done)
Preferred:
โ€ข Experience building web applications with React
โ€ข Background or interest in ML or robotics
โ€ข Experience leading teams and projects
Company:
Tutor was founded to build the intelligence that lets machines see, learn, and act alongside people in the most complex, real-world production environments. Founded in 2021, the company is headquartered in Watertown, USA, with a team of 51-200 employees. The company is currently Growth Stage.