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Lead development of LLM observability features, drive product direction and improvements for generative AI systems, and mentor engineers.
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Machine Learning Software Engineer (Boston Dynamics AI Institute LLC): work cross-functionally to create new technology to improve machine learning pipelines for robots.
Duties include:
1. Train, deploy, and maintain various Machine Learning (ML) algorithms on cloud and on-
premise infrastructure;
2. Develop process, pipeline, and tools for all components of ML lifecycle (i.e., training,
evaluation, and deployment);
3. Build and maintain data, model, and experimentation pipelines;
4. Help with model tuning, algorithm selection, and hyperparameter search using our
MLops platform;
5. Partner closely with research and applied science teams to put models into production;
6. Promote quality and reliability through regular code reviews.
Minimum Requirements:
A Master’s degree or foreign equivalent in Electrical Engineering and Computer Sciences,
Robotics, or a related field followed by 3 years of post-baccalaureate experience in a machine
learning engineering- or software engineering-related occupation.
Experience must include the following, which may have been gained concurrently:
1) 3 years of experience writing production code for data processing, machine learning
training, and serving in Python and C++;
2) 3 years of experience with git, issue tracking, CI/CD, and modern software engineering
practices;
3) 3 years of experience utilizing cloud ecosystems, including GCP and AWS;
4) 3 years of experience with deep learning libraries and frameworks, including PyTorch
and TensorFlow;
5) 3 years of experience implementing and training deep learning models;
6) 3 years of experience with state-of-the-art deep-learning techniques, including
transformers, diffusion models, and multi-modal modeling, in robotics, computer vision,
and NLP;
7) 3 years of experience with Docker and Kubernetes for deep learning.
Job site: 145 Broadway, Cambridge, MA 02142. Full-time. Salary: $170,000 to $190,000.
To apply, email cover letter and resume, referencing Req. #061454-320, to [email protected].
RAI Institute Cambridge, Massachusetts, USA Office
145 Broadway, Cambridge, MA, United States, 02142
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
