Senior Reinforcement Learning Engineer Jobs

Figure

Location:
United States, San Jose

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

150000.00 - 400000.00 USD / Year

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Job Description:

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are looking for a Senior or Staff level Reinforcement Learning Engineer. You will own the development, training, and deployment of new reinforcement learning algorithms for our humanoid robot as well as building infrastructure to support training policies at a large scale.

Job Responsibility:

Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks
Build simulation infrastructure to support the training of locomotion and manipulation policies for a general purpose humanoid robot at a large scale
Collaborate with the controls team to integrate policies into the existing control stack
Define, test, and evaluate performance metrics for learned policies

Requirements:

Confident writing production quality code in PyTorch
Familiar with online and offline reinforcement learning algorithms: 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.
Familiarity with general ML evaluation tools such as TensorBoard, Weights&Biases, etc.
Strong mix of industry and research experience, ideally 5-7+ years of experience

Nice to have:

Experience transferring policies learned in simulation to robot hardware
Experience training locomotion policies for quadrupedal or bipedal robots

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Reinforcement Learning Engineer