Staff ML Engineer - Agentic Systems for Humanoid Robots

Boston Dynamics; England; On-site; GBP 115,783 - 175,542; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Paid time off

Annual bonus

Job summary

Boston Dynamics is seeking a Staff Machine Learning Engineer to advance the System2 planning and reasoning layer for Atlas‑like humanoid robots. You will help enable long horizon tasks in dynamic environments and ship end‑to‑end capabilities with cross‑functional teams.

The role emphasizes building agentic systems, evaluating performance, safety, and robustness, and contributing to a strong engineering culture through code reviews, testing, and documentation.

Qualifications

• 5+ years of professional software engineering experience, including significant work on LLM‑driven or agentic systems.
• Hands‑on experience building or deploying agentic architectures (e.g., coding agents, tool‑using LLM systems, autonomous task agents).
• Track record of improving agentic system performance through evaluation and benchmarking.
• Strong fundamentals in data structures, algorithms, distributed systems, and software architecture.

Responsibilities

• Design and implement System2 architectures for humanoid robot control, including planning, reasoning, memory, and tool‑use frameworks.
• Develop logging, observability and evaluation methodologies to guide performance improvement and measure reasoning quality, safety, reliability, and generalization.
• Collaborate cross‑functionally with behavior, controls, perception, and product teams to ship end‑to‑end capabilities.
• Engage with customers and internal stakeholders to understand real‑world use cases and ensure solutions are practical, reliable, and impactful.
• Stay at the forefront of agentic research and translate state‑of‑the‑art techniques into production systems.
• Contribute to a strong engineering culture through code reviews, testing, documentation, and thoughtful system design.

Skills

LLM-driven systems

Agentic architectures

Distributed systems

Software architecture

Typescript/Python/C++

Safety & robustness

Robotics/vision/VLA experience

Code quality & testing

Open‑source contributions

Tools

LLM tooling

Benchmarking tools

Job description

Boston Dynamics is seeking a Staff Machine Learning Engineer to advance the System2 planning and reasoning layer for Atlas‑like humanoid robots. You will help enable long horizon tasks in dynamic environments and ship end‑to‑end capabilities with cross‑functional teams.

The role emphasizes building agentic systems, evaluating performance, safety, and robustness, and contributing to a strong engineering culture through code reviews, testing, and documentation.