Machine Learning Platform Engineer

1 month ago


Waltham, Massachusetts, United States Boston Dynamics Full time
Machine Learning Platform Engineer
Boston Dynamics - Waltham, MA

As a ML Platform Engineer on the Central Software (CSW) team, you will play an active role in implementing the tools, infrastructure, and pipelines that unify how our product and research teams get stuff done.

This is your chance to work closely with ML/RL engineers and researchers from across BD, supporting product and advanced research activities at the forefront of robotics innovation.


How you will make an impact:
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
Work with stakeholders across BD to understand requirements, ensuring deployed solutions meet end-user needs
Own end-to-end delivery of new capabilities, spanning implementation, testing, deploying, and operations
Be an active participant in our agile development process, coordinating work with others, calling out challenges, and communicating progress regularly
Use your experience to mentor/upskill peers and other contributors across the organization

We are looking for:
Hands-on experience or Interest in ML application for robotics
7+ years experience as a Senior Software Engineer or ML engineer
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)
Familiarity with cloud platform (e.g., Google, AWS) and scalable ML deployment methods (Docker, K8s, Ansible, Terraform)
Experience with data processing and data cleaning techniques
Experience with Agile, Scrum or other lean methods
Ability to work collaboratively in cross-functional teams
Bachelors in Engineering, Computer Science, or other technical area

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