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Senior Full Stack Machine Learning Engineer Jobs in Boston, MA

Sr. Full Stack Engineer (Backend) Salary Range : $180,000 - $200,000 annually This range reflects ... You care about learning, growing, and helping others do the same. * Startup mentality: comfort with ...

... 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.

Sr. Full Stack Engineer (Backend) Salary Range : $150,000 - $200,000 annually This range reflects ... You care about learning, growing, and helping others do the same. * Startup mentality: comfort with ...

Sr. Full Stack Engineer (Backend) Salary Range : $150,000 - $200,000 annually This range reflects ... You care about learning, growing, and helping others do the same. * Startup mentality: comfort with ...

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Showing results 1-20

Senior Full Stack Machine Learning Engineer information

See Boston, MA salary details

$48.3K

$146.4K

$207K

How much do senior full stack machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for senior full stack machine learning engineer in Boston, MA is $146,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $171,700.00 per year, depending on experience, location, and employer.

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 cities near Boston, MA are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities near Boston, MA with the most Senior Full Stack Machine Learning Engineer job openings:

Infographic showing various Senior Full Stack Machine Learning Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,415 per year, or $70.4 per hour.

Senior Full Stack Software Development Engineer

Boston, MA • On-site

Other

Posted 10 days ago


Job description

About Verisk Extreme Event Solutions

Verisk Extreme Event Solutions helps organizations understand, quantify, and prepare for some of the world’s most complex risks—from natural catastrophes and climate change to emerging global threats. Our teams combine advanced science, modern software engineering, and powerful analytics to build solutions that support critical decisions for insurers, businesses, governments, and communities. Here, engineers work on meaningful products at scale, in a collaborative environment that values curiosity, technical excellence, continuous learning, and practical innovation.

The Role

We are looking for a Senior Full Stack Developer who is excited to build modern, cloud-based analytic applications that solve real-world problems. In this agile engineering role, you will contribute across the full stack—designing scalable services, building intuitive user experiences, and helping evolve high-performance solutions used to model and manage extreme event risk. Our core production stack is .NET, Angular, and AWS, but we place equal value on strong engineering fundamentals, adaptability, and a desire to grow within an AI-forward development culture.

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