Research Engineer
Tasks
- Analyze real world evaluation results
- Build foundation models for robotics
- Build tools for experiment launching and monitoring
- Calibrate and configure robots for rollouts
- Design large scale multimodal model training infrastructure
- Design physical robotics benchmarks
- Identify software hardware and deployment bottlenecks
- Implement training scheduling and distribution
- Manage checkpoints and experiment logging
- Pre train models using deployment logs
- Run structured on robot evaluations
- Scale teaching and documentation workflows
Perks/Benefits
Skills/Tech-stack
Checkpointing | Data Preprocessing | Deep learning | Distributed Systems | Experiment tracking | Imitation Learning | JAX | Job Scheduling | Language Models | Large Language Models | Logging | Machine Learning | Model Training | Multimodal | Perception | PyTorch | Python | Reinforcement Learning | Robot Control | Robot hardware | Robotics | Transformers | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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