Staff Machine Learning Engineer (Infra), Driver Understanding and Evaluation
Tasks
- Build scalable systems for training and fine tuning ML models
- Collaborate to define performance and system requirements for ML systems
- Design and scale distributed systems for the ML lifecycle
- Develop ML evaluation workflows for driving behavior
- Guide data engineering model development and simulation architecture decisions
- Oversee production and optimization of fleet evaluation models
- Own large complex ML systems for driving architectures
- Provide technical leadership for large scale ML model architectures
Perks/Benefits
- N/A
Skills/Tech-stack
Autoregressive models | Data Engineering | Distributed Training | Gradient Sharding | Human Feedback | JAX | Learning evaluation | Learning from Human Feedback | Machine Learning | Machine learning evaluation | Metrics design | PyTorch | Python | Ray | Reinforcement Learning | Reinforcement Learning from Human Feedback | Simulation | TensorFlow | Transformers
Education
Regions
Countries
States
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