Senior Robot Learning Scientist & Engineer — Real-World Policy

Holiday Robotics Inc.; Mountain View (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Employer-paid health insurance

Relocation stipend

Free daily meals

Employer-supported retirement plan

Job summary

Holiday Robotics Research Inc. in California seeks a Senior Research Scientist/Engineer to lead policy training and real-world post-training for FRIDAY, our mobile humanoid robot.

You will develop robust learned behaviors for dexterous and whole-body manipulation using in-house simulator Holiday-Newton and real-robot demonstrations. Collaborate with dynamics, planning, control, and simulation teams to translate advances in reinforcement and imitation learning into reliable robot behavior on the

Qualifications

• BS, MS or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or related field.
• 7+ years robotics experience or 5+ years with an advanced degree, focusing on training, evaluating, and deploying learned policies.
• Strong foundation in robot learning with deep RL, imitation learning, or policy optimization.
• Hands-on GPU-accelerated policy training with Python and JAX or PyTorch; experience with MuJoCo, Warp, Drake.
• Experience with Sim-to-Sim validation and real-world deployment on robots.

Responsibilities

• Set technical direction and own FRIDAY's policy-training and post-training stack.
• Train and compare policies at scale in Holiday-Newton with digital twins; optimize sample efficiency and real-time execution.
• Deploy, evaluate, and debug policies on FRIDAY using real-world data and demonstrations.
• Develop real-world fine-tuning and policy adaptation methods from physical results.
• Collaborate across dynamics, planning, control, and simulation on digital twins and Sim-to-Real transfer.

Skills

Robot learning

Reinforcement learning

Imitation learning

Policy optimization

Python

JAX

PyTorch

C++

Education

BS/MS/PhD in Robotics/CS/EE

Tools

MuJoCo

Warp

Drake

Calibrated digital twins

Job description

Holiday Robotics Research Inc. in California seeks a Senior Research Scientist/Engineer to lead policy training and real-world post-training for FRIDAY, our mobile humanoid robot.

You will develop robust learned behaviors for dexterous and whole-body manipulation using in-house simulator Holiday-Newton and real-robot demonstrations. Collaborate with dynamics, planning, control, and simulation teams to translate advances in reinforcement and imitation learning into reliable robot behavior on the