AI Engineer - RL Manipulation, RIVR
Core
Research, design, and deploy reinforcement learning solutions to enable robots to manipulate objects in the physical world.
Role type
Senior Applied Scientist (Robotic Manipulation / Reinforcement Learning)
Builds
Intelligent robotic manipulation systems that generalize from simulation to real hardware
Domain
Robotics, Machine Learning, Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement Learning, Deep Learning, Robotics Manipulation, Sim-to-Real Transfer, Python, C++, Neural Network Architectures, Policy Optimization, Dynamics, Grasp Synthesis
Preferred skills
PhD in Robotics/ML, Top-tier Conference Publications, Tactile Sensing, Multi-fingered Hands, Bimanual Manipulation
Technologies
PyTorch, TensorFlow
Responsibilities
Research and develop RL methods for robotic manipulation; Design and evaluate ML models for varied manipulation tasks; Build production code integrating prototypes into robotics systems; Collaborate on simulation requirements and hardware validation; Contribute to scientific roadmap and mentor team members