Tech Lead, Robotic AI Model
El Segundo, California, United States
USD 150K-180K Senior-level Full Time
Tasks
- Apply parameter efficient fine tuning
- Build and maintain simulation environments
- Build robot demonstration data pipelines
- Conduct distributed RL training on GPU clusters
- Create evaluation and benchmarking infrastructure
- Curate and augment multimodal training datasets
- Design post training pipelines for robot policies
- Develop reward functions and verifiers
- Fine tune pretrained robot foundation models
- Implement action tokenization and dataset versioning
- Integrate learned policies into robot software stack
- Optimize models for on robot inference
- Run sim to real validation
- Track and adopt state of the art robot foundation research
- Train reinforcement learning policies in simulation
Perks/Benefits
- N/A
Skills/Tech-stack
Action Tokenization | Behavior Cloning | Data Augmentation | Data Quality | Data Quality Filtering | Dataset versioning | DeepSpeed | Depth | Diffusion policies | Distributed Training | Domain Randomization | FSDP | Fine Tuning | Flow matching | Force Torque | Imitation Learning | Isaac Sim | Language Models | Mujoco | Policy Optimization | Proprioception | Proximal Policy Optimization | PyBullet | PyTorch | Python | Quality Filtering | Quantization | RGB | ROS2 | Real Time | Real-time control | Reinforcement Learning | Reinforcement Learning Training | Reinforcement Learning Training Loop | Reinforcement learning policies | Robot simulation | SAPIEN | Sim-to-Real | Supervised Fine Tuning | Tactile | Teleoperation | Training Loop | Vision Language Models | Vision-language
Education
Roles
Regions
Countries
States
Cities
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