Senior ML Engineer (AI Research, Physical AI)
Tasks
- Apply planning methods and action trajectory optimization
- Build simulation environments and run sim to real experiments
- Conduct experiments and evaluate embodied learning systems
- Create datasets and data quality pipelines
- Design machine learning solutions for physical AI
- Develop large scale robotic models and algorithms
- Develop research software and distributed training infrastructure
- Develop vision-language-action architectures
- Document research outcomes and contribute open source
- Incorporate human demonstrations and simulation data into AI models
- Prototype robotic manipulation and whole body control capabilities
- Research reinforcement learning imitation learning and learning from demonstration
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning support
- Experimentation focused culture
- Flexible work environment
- International collaboration
- Real-world impact projects
Skills/Tech-stack
CI/CD | Computer Vision | Control Systems | Deep learning | Distributed Checkpointing | Distributed Training | Generative Modeling | Imitation Learning | JAX | Learning from Demonstration | Machine Learning | Mixed Precision | Mixed-precision training | Multimodal Learning | Planning | Python | Quantization | Reinforcement Learning | Robotics | Sim-to-Real | Simulation | Transformer | Version control
Education
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