Principal Machine Learning Integration Engineer
Motional
PythonPyTorchTensorflow
Applied ML Research Engineer, Robotics
Chef Robotics
full-time
Posted on:
Location Type: Office
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $260,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonPyTorchTensorflow
About the role
- Design and implement cutting-edge reinforcement learning and imitation learning systems for robotic food manipulation
- Build and deploy RL/IL systems 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 and collaborate closely with robotics software engineers on real-world deployment
- Deploy algorithms in commercial environments serving millions of meals
Requirements
- 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)
- Publications at top robotics/AI conferences (ICRA, IROS, RSS, CoRL, NeurIPS, ICML) - preferred
- Experience building multi-agent RL, hierarchical RL, or meta-learning systems for robotics - preferred
- Hands-on experience with sim-to-real transfer, domain adaptation, and sample-efficient learning for manipulation - preferred
- Background implementing RL/IL for manufacturing automation, contact-rich manipulation, or similar domains - preferred
- Strong systems engineering skills and experience with distributed training and inference - preferred
Benefits
- Equity is a major part of the compensation package
- Medical insurance
- Dental insurance
- Vision insurance
- Commuter benefits
- Flexible paid time off (PTO)
- Catered lunch
- 401(k) matching
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
reinforcement learningimitation learningpolicy gradientsactor-criticmodel-based RLbehavioral cloninginverse RLmulti-agent RLhierarchical RLmeta-learning
Soft skills
collaborationproblem-solvingcommunicationsystems engineering
Certifications
MS in Computer SciencePhD in Robotics
Similar jobs on JobTailor
Staff Data Scientist, Search and Personalization
Hotel Engine
PythonPyTorchSparkTensorflow
AI Engineer
MCIM by Fulcrum Collaborations
PythonPyTorchSQLTensorflow
AI Research Scientist – Reinforcement Learning
Snowflake
PythonPyTorchTensorflow
Senior Software Engineer – Applied GenAI, DevX
Autodesk
AWSAzureJavaJavaScriptPythonPyTorchReactTypeScript