ML Engineer II, Manipulation
Anywhere in the US
R
USD 140K-200K (estimate) Mid-level Full Time
Found 16h ago
Tasks
- Analyze field performance
- Build training pipelines
- Design evaluation metrics
- Develop manipulation models
- Develop sim-to-real workflows
- Integrate policies with control systems
- Optimize models for deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Control Systems | Machine Learning | Model Optimization | PyTorch | Python | Robotics | Simulation
Education
Language: en |
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