Machine Learning Engineer, Runtime & Optimization
Tasks
- Analyze and improve ML system workloads on cloud and self driving cars
- Apply model optimization techniques
- Collaborate with ML scientists on perception planner research simulation
- Deploy ML models on limited compute resources
- Develop junior engineers
- Identify system and model opportunities to improve ML workload speed
- Improve ML software runtime performance
- Improve efficient deep learning models
- Lead projects from proposal through execution
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | Deep learning | JAX | Machine Learning | Model Compression | PyTorch | Python | TensorFlow | Triton | XLA
Education
Regions
Countries
States
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