Reinforcement Learning Engineer — Dexterous Robotic Grasping

Persona AI; Houston (TX); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Performance-based bonus

99% employer covered medical benefits

Early-stage equity

Paid winter break between December 24th and January 2nd

Job summary

Persona AI in Houston, Texas, is seeking a Reinforcement Learning Engineer to join their Manipulation team. This role focuses on developing reliable grasping policies for robots and requires expertise in reinforcement learning techniques applicable to complex tasks.

The ideal candidate should have strong educational background in robotics or related fields with hands-on experience in robotic manipulation. Competitive compensation and benefits are provided along with opportunities to work on innovative technologies.

Qualifications

• Hands-on experience in reinforcement learning for robotic manipulation.
• Able to read and implement ideas from recent robotics and machine learning research.
• Experience with sim-to-real transfer including domain randomization.

Responsibilities

• Train reinforcement learning policies for grasping tasks.
• Implement sim-to-real transfer pipelines.
• Develop reward functions and training environments in simulators.

Skills

Reinforcement learning

Robotic manipulation

Python programming

Deep learning frameworks

Simulation and physical robotics

Education

BS, MS, or PhD in Robotics, Computer Science, or Machine Learning

Tools

MuJoCo

Isaac Lab

Job description

Persona AI in Houston, Texas, is seeking a Reinforcement Learning Engineer to join their Manipulation team. This role focuses on developing reliable grasping policies for robots and requires expertise in reinforcement learning techniques applicable to complex tasks.

The ideal candidate should have strong educational background in robotics or related fields with hands-on experience in robotic manipulation. Competitive compensation and benefits are provided along with opportunities to work on innovative technologies.