The Role
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].
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The Company
What We Do
We aim to solve the most important and fundamental problems in robotics and AI. (Formerly The AI Institute)
