Machine Learning Software Engineer

Machine Learning Software Engineer (Boston Dynamics AI Institute LLC): work cross-functionally to create new technology to improve machine learning pipelines for robots.

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.

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 recruitment@theaiinstitute.com.