Senior ML Engineer, Manipulation
Tasks
- Build data collection pipelines
- Define evaluation metrics and benchmarks
- Deploy and debug policies on robotic hardware
- Design and train manipulation policies
- Develop recovery and fallback behaviors
- Implement and evaluate policy architectures
- Partner with perception and robotics engineers
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Augmentation | Data pipeline | Dataset curation | Diffusion Models | Grasp Estimation | Imitation Learning | Kinesthetic Teaching | Learned Motion Generation | Machine Learning | Model Evaluation | Motion Generation | Policy deployment | PyTorch | Python | Reinforcement Learning | Robotics | Sim-to-Real | Teleoperation | Transformer | Visuomotor control
Education
Regions
Countries
States
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