Software Engineer (ML Robotics Systems)

TL;DR

Software Engineer - ML Robotics Systems (AI): Building next-generation AI systems that operate in the physical world with an accent on full-stack ML-powered robotics from data pipelines to real robot deployment. Focus on designing multimodal data pipelines, improving ML training infrastructure, running experiments, and validating changes on physical robots.

Location: Boston, MA; Remote; Washington, DC; San Francisco, CA; Denver, CO; New York City, NY

Salary: $150,000-$350,000 (various ranges listed)

Company

Well-funded, highly technical team building next-generation AI systems for robotics.

What you will do

• Build and scale distributed Python systems for data and ML workflows.
• Design pipelines to process massive volumes of multimodal data.
• Improve infrastructure for large-scale model training and iteration.
• Deploy and validate systems on real robotic platforms.
• Drive performance, reliability, and scalability as systems grow.

Requirements

• Experience building distributed systems or data pipelines at scale.
• Strong Python skills and solid backend/infrastructure fundamentals.
• Experience working with large-scale datasets (ideally video or multimodal).
• Understanding of modern ML systems and training workflows.
• Experience with cloud infrastructure (e.g. Kubernetes, networking, permissions).

Nice to have

• Experience at very large scale (e.g. petabyte-level data).
• Exposure to robotics, perception, or embodied AI systems.

Culture & Benefits

• High ownership: take ideas from concept to production to real-world validation.
• Work on hard problems at the intersection of AI and robotics.
• Join a small, high-calibre team at the frontier of embodied AI.
• Blend of ML, infrastructure, and hands-on deployment across the stack.