Machine Learning Engineer
Sunnyvale, CA, United States
USD 100K-150K (estimate) Entry-level Full Time
Tasks
- Advance state of the art with publications and patents
- Build clinical datasets and data pipelines
- Build machine learning infrastructure from prototype to product
- Collaborate with clinical advisors to iterate prototypes
- Create validation methods and evaluation metrics for clinical datasets
- Develop algorithms and systems for computer vision robotics and multimodal data fusion
- Develop synthetic data generation and generative models for surgical AI
- Develop technologies and digital products to improve surgeon performance
- Integrate machine learning and computer vision algorithms into robotic platforms
- Lead research design and implementation of AI algorithms for computer vision
- Support academic collaborations
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | Computer Vision | Data Fusion | Data Pipelines | Debugging | Deep learning | Diffusion Models | GPU Programming | Generative AI | Image Processing | Machine Learning | Model Evaluation | Multi-threaded | Multi-threaded programming | Multimodal Data | Multimodal data fusion | Profiling | PyTorch | Python | Shell Scripting | Synthetic data | TensorFlow | Threaded programming | Video Analysis | World Models
Regions
Countries
States
Cities
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