Senior ML Engineer (AI Research, Physical AI)
Tasks
- Apply imitation learning and learning from demonstration
- Build human demonstration integration pipelines
- Build simulation environments
- Communicate research findings through technical documentation and publications
- Conduct sim to real experiments
- Create datasets and evaluation methodologies
- Design machine learning models for robotic agents
- Develop data quality pipelines
- Develop robotic research software
- Develop vision-language-action architectures
- Document research outcomes
- Implement distributed training infrastructure
- Optimize planning and action trajectories
- Research reinforcement learning for robotic tasks
- Train and evaluate large scale machine learning algorithms
Perks/Benefits
- Autonomy and ownership
- Career growth opportunities
- Continuous learning support
- Flexible work environment
- Innovation focused experimentation
- International collaboration
Skills/Tech-stack
Computer Vision | Continuous Deployment | Continuous integration | Continuous integration Continuous deployment | Control Systems | Data Pipelines | Distributed Training | Imitation Learning | JAX | Language Models | Machine Learning | Mixed Precision | Mixed-precision training | Multimodal Learning | Planning | Python | Quantization | Reinforcement Learning | Robotics | Sim-to-Real | Simulation | Transformer Models | Version control | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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