Senior ML Engineer (AI Research, Physical AI)
Tasks
- Build simulation environments and run sim to real experiments
- Collaborate to transform experimental results into reliable solutions
- Communicate research outcomes through documentation publications and demos
- Conduct planning guided generation and action trajectory optimization
- Create datasets evaluation methodologies and data quality pipelines
- Design machine learning models and algorithms for robotic agents
- Develop research software and distributed training infrastructure
- Develop vision-language-action architectures
- Identify new research opportunities and advance AI capabilities
- Incorporate human demonstrations and simulation data
- Prototype manipulation mobile robotics and whole body control capabilities
- Research reinforcement learning and imitation learning for robotic tasks
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning support
- Flexible work environment
- Innovative research culture
- International collaboration
Skills/Tech-stack
Action models | CI/CD | Code Reviews | Computer Vision | Data Quality | Data-quality pipelines | Deep learning | Distributed Training | Generative Modeling | Imitation Learning | JAX | Language Models | Machine Learning | Multimodal generative modeling | Planning and control | Python | Quality pipelines | Reinforcement Learning | Reinforcement Learning Experiments | Robotics | Sim-to-Real | Simulation | Testing | Transformers | Version control | Vision Language Models | Vision-Language-Action Models | Vision-language | Vision-language-action
Education
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