Senior ML Engineer (AI Research, Physical AI)
Tasks
- Build simulation environments and run sim to real experiments
- Collaborate to transform experiments into reliable solutions
- Create datasets and data quality pipelines
- Design and implement machine learning models for robotic agents
- Develop research software and distributed training infrastructure
- Develop vision-language-action architectures
- Document research outcomes and contribute to open source
- Incorporate human demonstrations and simulation data into models
- Optimize planning methods and action trajectories
- Prototype robotic manipulation and whole body control capabilities
- Research and apply reinforcement learning imitation learning and learning from demonstration
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning support
- Flexible work environment
- International collaboration
- Remote-friendly environment
Skills/Tech-stack
CI/CD | Computer Vision | Control Systems | Deep learning | Distributed Training | Imitation Learning | JAX | Learning from Demonstration | Machine Learning | Multimodal Learning | Planning | Python | Reinforcement Learning | Robotics | Sim-to-Real | Simulation | Transformer | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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