Boston Dynamics is looking for an ML Platform Engineer to join the Central Software (CSW) Machine Learning Platform team to implement tools, infrastructure, and pipelines that unify how product and research teams develop and deploy machine learning models for robotics.
Requirements
- Demonstrated proficiency in Python, Julia, or R, and related frameworks (PyTorch, Tensorflow, Pandas, Numpy)
- Knowledge of distributed computing & big data technologies for large datasets (e.g., Spark) and building data pipelines
- Knowledge of Deep Learning methodologies specific to Computer Vision like YOLO
- Familiarity with cloud platform (e.g., Google, AWS) and scalable ML deployment methods (Docker, K8s, Ansible, Terraform)
- Experience with data processing, data augmentation and data cleaning techniques
Responsibilities
- Transform proofs of concepts into scalable solutions, helping product teams deliver new robot capabilities to customers.
- Evolve and scale fielded solutions, enabling continuous model improvement and redeployment
- Dig into and optimize both cloud and on-robot ML system implementations, for accuracy and efficiency
- Work closely with other members of the ML Platform team to implement, deploy, and maintain ML infrastructure
- Own end-to-end delivery of new capabilities, spanning implementation, testing, deploying, and operations
- Use your experience to mentor/upskill peers and other contributors across the organization
Other
- Hands-on experience or Interest in ML application for robotics
- 7+ years experience as a Senior Software Engineer or ML engineer
- Experience with Annotation tools using SAM, Co-Tracker, etc. is a plus
- Experience with Agile, Scrum or other lean methods
- Ability to work collaboratively in cross-functional teams
- Be an active participant in our agile development process, coordinating work with others, calling out challenges, and communicating progress regularly
