Machine Learning Engineer, Model Optimization
Mountain View, California, United States; San Francisco, California, United States
USD 170K-216K Mid-level Full Time
Tasks
- Analyze and optimize real time inference latency
- Co develop model architecture with hardware
- Develop scalable model training methods
- Optimize FLOPs utilization in model training and inference
- Optimize critical path inference in onboard systems
- Optimize inference for onboard and offboard platforms
- Optimize sparse model representations
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | FLOPs Optimization | JAX | Machine Learning | Model Architecture | Model Inference | PyTorch | Python | Real Time | Real-time Inference | Sparse Representation
Education
Regions
Countries
States
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