Applied Machine Learning Research Engineer, Chef Robotics

• MS/PhD in Computer Science, Robotics, or related field, OR Bachelor's + 7+ years industry experience, 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)

Desirable

• As an Applied Research Engineer, you'll design and implement cutting-edge reinforcement learning and imitation learning systems for robotic food manipulation
• You'll build RL/IL algorithms that solve real production challenges - from adaptive manipulation across thousands of ingredient types to multi-arm coordination - and deploy them in commercial environments serving millions of meals
• 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