Machine Learning Researcher

Overview

You’ll join a team building AI systems with real-world physical capability - models that can experiment, engineer, and manufacture beyond simulation. With strong technical foundations and large-scale projects already in motion, this team is pushing the frontier of advanced intelligence.

The work is deeply hands-on and first-principles driven, offering true ownership of end-to-end systems and the opportunity to create capabilities that don’t yet exist.

Why join

• Lead research in planning, reasoning, and tool use for autonomous engineering systems
• Define prompting frameworks, structured tool invocation, model alignment, and preference optimization
• Advance verifier-guided RL, long-horizon behaviors, and MoE routing in a fast-moving research environment
• Collaborate closely with systems, data, simulation, and tooling teams operating real engineering workflows
• Competitive compensation up to $300,000
  , plus meaningful equity

If you’re looking for a role where research directly translates into physical AI capability, I’d be happy to share more or make an introduction.