Founding ML Research Engineer: Robot Learning & Physical AI

D24 Search Limited; San Francisco (CA); On-site; USD 270,000 - 330,000; Full time

Benefits offered by this job

Equity

Job summary

D24 Search Limited is building the US presence in San Francisco to lead the data layer for physical AI across robotics and world models.

You’ll be the first robotics-focused researcher, training robot policies on proprietary synthetic data, measuring improvements, and turning results into both public demonstrations and product requirements. You report to the VP of R&D and collaborate with global teams.

Qualifications

• Trained and evaluated robot policies in simulation (Isaac Sim / MuJoCo or equivalent).
• 6+ years hands-on robot learning experience in industry or academia.
• Experience with policy learning methods: VLA fine-tuning, imitation learning, or RL.

Responsibilities

• Train policies on our data and measure improvements in manipulation tasks.
• Establish baselines on public eval suites and report deltas.
• Translate experimental findings into data specifications for the data team.
• Publish and demo results to the robotics community and participate in customer discussions.
• Hire and lead the Bay Area robotics team as it scales.

Skills

Robot learning

Experiment design

Policy learning

Simulation (Isaac Sim/MuJoCo)

ML tooling (PyTorch)

Education

MS or PhD in robotics or ML

Tools

Isaac Sim / MuJoCo

Job description

D24 Search Limited is building the US presence in San Francisco to lead the data layer for physical AI across robotics and world models.

You’ll be the first robotics-focused researcher, training robot policies on proprietary synthetic data, measuring improvements, and turning results into both public demonstrations and product requirements. You report to the VP of R&D and collaborate with global teams.