Chef Robotics is looking to accelerate the advent of intelligent machines in the physical world, specifically by putting an intelligent robot in every commercial kitchen in the world to address challenges in robotic food manipulation.
Requirements
- 5+ years hands-on experience implementing RL/IL algorithms for robotics applications
- Expert knowledge building and deploying RL systems (policy gradients, actor-critic, model-based RL) and IL methods (behavioral cloning, inverse RL)
- Strong software engineering skills with ML frameworks (PyTorch, TensorFlow), Python, and robotics frameworks (ROS)
- Publications at top robotics/AI conferences on RL/IL implementations (ICRA, IROS, RSS, CoRL, NeurIPS, ICML)
- Experience building multi-agent RL, hierarchical RL, or meta-learning systems for robotics
- Hands-on experience with sim-to-real transfer, domain adaptation, and sample-efficient learning for manipulation
- Background implementing RL/IL for manufacturing automation, contact-rich manipulation, or similar domains
Responsibilities
- Build and deploy RL/IL systems for robotic food manipulation, developing policies that adapt to diverse ingredients with minimal human intervention
- Engineer multi-agent RL solutions for dual-arm coordination and collaborative manipulation workflows in high-throughput environments
- Implement imitation learning pipelines to rapidly onboard new ingredients from minimal demonstrations, reducing manual tuning
- Integrate research prototypes into production systems, working closely with robotics software engineers on real-world deployment
Other
- MS/PhD in Computer Science, Robotics, or related field, OR Bachelor's + 7+ years industry experience
- We are an equal opportunity employer and value diversity at our company.
- If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!
