Senior Engineering Manager, ML Platform

Senior Engineering Manager

We're looking for a Senior Engineering Manager to lead our ML Platform Team - a growing team responsible for the foundational infrastructure that powers our machine learning work. This is a player-coach role: you'll set technical direction and contribute hands-on while building out the team and establishing the processes that will scale with it.

The platform is in its early stages, with some foundations in place. You'll be joining at a pivotal moment - making architectural decisions that will shape how the team and the platform grow from 4 engineers today to a team of 10–12.

• Infrastructure Leadership
• Data Platform Ownership
• Shared Tooling & Developer Experience
• Technical Strategy & Architecture
• Cross-functional Collaboration
• Team Building & Management

• 7–12 years of engineering experience, with at least 2–3 years in a formal management or tech lead capacity
• Demonstrated experience building or scaling a platform, infrastructure, or ML systems team from the ground up
• Technical credibility in one or more of: GPU/distributed compute infrastructure, large-scale data storage and retrieval, or data pipeline frameworks
• Experience making foundational architectural decisions in an early-stage or greenfield environment
• Strong cross-functional communication skills - able to translate between ML researchers, engineers, and senior leadership
• Comfortable with ambiguity; able to define the roadmap rather than just execute against one
• A hands-on mindset - willing and able to write code, review designs, and debug production issues alongside your team

• Familiarity with compute orchestration frameworks such as Kubernetes, Slurm, or Ray
• Experience with ML training workflows, dataset generation pipelines, or feature stores
• Prior experience growing a team through a hiring ramp (e.g. doubling or tripling headcount)

The base pay range for this position is between $ to $ annually. Base pay will depend on multiple individualized factors, including, but not limited to, internal equity, job-related knowledge, skills, and experience. This range represents a good-faith estimate of compensation at the time of posting. Boston Dynamics offers a generous Benefits package including medical, dental, vision, 401(k), paid time off, and an annual bonus structure.

Additional details regarding these benefit plans will be provided if an employee receives an offer for employment.