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Figure

Reinforcement Learning Engineer – Whole Body Control

Figure · San Jose, CA

Posted about 3 months ago

or apply directly on Figure's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Figure's roles stay open a median of 81 days
Reposted
No
Salary listed
No
60% of Figure's roles list one
Ghost-job risk at Figure
high
112 stale, 2 reposted of 112 open
Hiring momentum
152 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Figure's own greenhouse board since 2026-08-03. Full hiring picture for Figure.

About this role

As a Reinforcement Learning Engineer at Figure, you will focus on developing, training, deploying, and evaluating advanced reinforcement learning algorithms specifically for the whole body control of humanoid robots. Your role will involve determining key observations and actions, addressing sim-to-real gaps, and ensuring the robustness of the control stack, while also mentoring junior engineers.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Figure as an employer.

What you need

  • Strong background in dynamics and control, ideally of legged robots
  • Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
  • Experience tuning hyperparameters and cost functions for these RL algorithms
  • Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
  • Capable of leading complex controls projects and mentoring junior engineers

Nice to have

  • Experience with behavior cloning techniques (e.g. distillation)

What you get

  • The US base salary range for this full-time position is between $150,000 and $350,000 annually.
  • The total compensation package may also include additional components/benefits depending on the specific role.

Worth weighing

  • Requires 5 days/week in-office collaboration
  • Salary range is quite broad, indicating potential variability based on individual factors

Summarised from Figure's posting. Read the full original.

Listed by Figure on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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