Machine Learning Engineer, Robot Learning, Loco-Manipulation
Tasks
- Build robot learning stack
- Collaborate with robotics perception and mechanical engineers
- Deploy policies with phased rollout
- Develop data pipelines and experiment tracking
- Develop multimodal perception and scene understanding components
- Implement sim to real transfer workflows
- Stand up training pipelines and infrastructure
- Train robot action policies
Perks/Benefits
- 401k retirement plan
- Comprehensive medical, dental and vision coverage
- Daily free lunch
- Employee referral bonuses
- Flexible PTO
- Paid parental leave
Skills/Tech-stack
Action Chunking | Behavioral cloning | Data Versioning | Diffusion Models | Domain Randomization | Edge inference | FP16 | Fine Tuning | Flow matching | INT8 | Isaac Lab | Isaac Sim | Legged Robots | Machine Learning | Manipulation | Model Quantization | Mujoco | NVIDIA Isaac | NVIDIA Isaac Lab | NVIDIA Isaac Sim | ONNX | Physics-informed machine learning | Policy training | PyTorch | Python | Real Time | Real-time deployment | Reinforcement Learning | Reinforcement learning fine tuning | Representation Learning | Reproducible Research | Self-Supervised Learning | Self-supervised | Sim-to-Real | Simulation | Supervised Learning | TensorRT | Visual representation | Visual representation learning | Whole-body control
Education
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