Senior ML Engineer (AI Research, Physical AI)
Tasks
- Build simulation to real learning pipelines
- Conduct sim to real experiments
- Contribute to technical strategy and research roadmaps
- Create datasets and evaluation methodologies
- Create scalable research software
- Design machine learning models for robotic agents
- Develop distributed training infrastructure
- Develop embodied learning data quality pipelines
- Develop vision-language-action architectures
- Document research outcomes
- Explore planning and action trajectory optimization
- Prototype robotic manipulation and control capabilities
- Research reinforcement learning and imitation learning
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning support
- Flexible work environment
- Innovative culture
- International collaboration
Skills/Tech-stack
CI/CD | Computer Vision | Control Systems | Deep learning | Distributed Training | Generative Modeling | Imitation Learning | JAX | Machine Learning | Multimodal Models | Multimodal generative modeling | Planning | PyTorch | Python | Reinforcement Learning | Robotics | Transformer | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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