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ML Platform Engineer, Central Software

Company:
Bostondynamics
Location:
Mead Township, OH, 43947
Posted:
April 18, 2025
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Description:

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

You bring:

Hands-on experience or Interest in ML application for robotics

5+ 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) and building data pipelines

Knowledge of Deep Learning methodologies specific to Computer Vision like YOLO Experience with Annotation tools using SAM, Co-Tracker, etc. is a plus

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

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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R1778

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