Machine Learning Engineer
San Francisco, CA, United States
USD 153K-222K (estimate) Mid-level Full Time
Tasks
- Build clinical datasets and data pipelines
- Build data pipelines from multimodal sensor streams
- Collaborate with clinical advisors on prototypes
- Create end to end training pipelines
- Design simulation infrastructure
- Develop synthetic data generation
- Implement reinforcement learning pipelines
- Integrate ML and computer vision algorithms into robotics platforms
- Integrate simulation outputs into training
- Optimize simulation performance
- Run structured experiments
- Support sim to real validation
- Write production-ready code
Perks/Benefits
- N/A
Skills/Tech-stack
C plus plus | C# | Computer Vision | Data Generation | Data Pipelines | Data orchestration | Distributed Systems | Domain Randomization | GPU | Inference | Machine Learning | Model Deployment | Multimodal Data | Noise modeling | Physics Based Constraints | PyTorch | Python | Reinforcement Learning | Rendering | Robotics simulation | Shell Scripting | Simulation | Synthetic Data Generation | Synthetic data | TensorFlow
Education
Regions
Countries
States
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