Senior Applied Scientist
Tasks
- Build and run capability evaluations and benchmarks
- Build training infrastructure
- Collaborate with robotics hardware teams for integration
- Conduct literature reviews and research documentation
- Create repeatable training recipes
- Create tools for model evaluation and testing
- Develop and improve machine learning systems for robotics
- Develop data collection and curation workflows
- Execute rigorous reproducible experimentation
- Fine tune and optimize foundation models for targeted tasks
- Implement model evaluation APIs
- Prepare technical reports and presentations
- Profile performance and failure modes
- Write maintainable code and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Artificial Intelligence | Benchmarking | Computer Vision | Data Curation | Dataset quality | Deep learning | Experiment design | Fine Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Multi-Modal | Multi-Modal Learning | Natural Language | Natural Language Processing | Reinforcement Learning | Reproducibility | Robotics | Training Infrastructure | Training data
Education
Regions
Countries
States
Cities
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