True Talent Solutions Partners

Founding Research Engineer, Robot Learning

San Francisco
Salary
$260,000 - $300,000 annually
Level
Senior
Work type
On-site · San Francisco
Visa
Not offered

Open. First seen 29 October 2026.

Apply on the company's site →

About the role

About the Role

A physical AI data infrastructure company is seeking its first robot learning hire to test how synthetic training data affects robot policy performance. You will work with research, engineering, and product teams to turn rigorous experiments into public results and practical data requirements.

What You'll Do

  • Train robot policies using synthetic data, including VLA fine-tuning, imitation learning, diffusion policies, or reinforcement learning in simulation.
  • Establish baselines on public evaluation suites and compare results using controlled experiments with consistent seeds and protocols.
  • Assess manipulation and grasping performance, reporting improvements and failures clearly.
  • Translate experimental findings into data specifications covering generation needs, fidelity, and variation.
  • Publish and present results to the robotics community and participate in customer technical discussions.
  • Help build and lead a robotics team as it grows.

What We're Looking For

  • At least 6 years of hands-on robot learning experience, including work in industry and university research environments.
  • A master's or doctoral degree in robotics, machine learning, or a related field.
  • Experience training and evaluating robot policies in simulation with tools such as NVIDIA Isaac Sim or Isaac Lab, MuJoCo, or equivalent.
  • Experience with methods such as VLA fine-tuning, imitation learning, diffusion policy, ACT, behavior cloning, or reinforcement learning.
  • Background in robotics research or simulation products, with experience training manipulation or grasping policies.
  • Ability to use evaluation results to guide data or simulation changes and run controlled comparisons that vary training data while keeping other factors consistent.
  • Strong Python and PyTorch skills; familiarity with USD and sim-to-real transfer is relevant.

Compensation & Benefits

Base salary: $260,000 to $300,000 annually. Visa sponsorship is not available.

Location

Hybrid role based in San Francisco, United States.

What this role asks for

Particular to this role

PyTorch

Rare in True Talent Solutions Partners's other 126 open postings.

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Compared with True Talent Solutions Partners's other open jobs.

The team: Client Roles

This role is one of 125 open in Client Roles. 125 were posted in the last 30 days, including 5 lead roles: the team is hiring the people who run it too.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (72 of 125), TypeScript (47 of 125), LLM (43 of 125), React (38 of 125), Machine Learning (34 of 125), AWS (26 of 125), JavaScript (25 of 125)

OTHER ROLES ON THIS TEAM

From the team and dates on True Talent Solutions Partners's own job board.

Similar jobs

More jobs like this

SKILLSPython 46,241Machine Learning 19,848PyTorch 4,764
PLACESSan Francisco 7,783United States 72,462
COMPANYJobs at True Talent Solutions Partners 125

Is this your posting? Email info@careerholo.com to have it removed.