Tech Lead, Robotic AI Model
El Segundo, California, United States
USD 150K-180K Senior-level Full Time
Tasks
- Apply sim to real transfer methods
- Build and maintain simulation environments
- Build robot demonstration data pipelines
- Conduct real robot A B testing
- Contribute to embodied AI post training research
- Create evaluation and benchmarking infrastructure
- Curate and version training datasets
- Design post-training pipelines
- Develop reward functions and verifiers
- Fine tune vision language action models
- Implement parameter efficient fine tuning
- Integrate learned policies into robot software stack
- Integrate multimodal sensory data
- Optimize models for on robot inference
- Run distributed reinforcement learning training
- Track and adopt robot foundation model research
- Train reinforcement learning policies
Perks/Benefits
- N/A
Skills/Tech-stack
Action Chunking | Action Tokenization | Behavior Cloning | DPO | DeepSpeed | Diffusion Models | Distributed Training | Domain Randomization | FP8 | FSDP | Fine Tuning | Flow matching | GRPO | INT8 | Imitation Learning | Language Models | Latency Reduction | PPO | Policy Optimization | Preference optimization | Proximal Policy Optimization | PyTorch | Python | Quantization | RLHF | RLVR | ROS2 | Real Time | Real-time control | Reinforcement Learning | Reinforcement learning policies | Robot Learning | Sim-to-Real | Simulation | Supervised Fine Tuning | Vision Language Models | Vision-language
Education
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Robotics Engineer | Tech Lead
Regions
Countries
States
Cities
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