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.
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 ourMLops 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 machinelearning 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 learningtraining, and serving in Python and C++;2) 3 years of experience with git, issue tracking, CI/CD, and modern software engineeringpractices;3) 3 years of experience utilizing cloud ecosystems, including GCP and AWS;4) 3 years of experience with deep learning libraries and frameworks, including PyTorchand 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, includingtransformers, 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.