Machine Learning Engineer, End-to-end Autonomy
Tasks
- Build data sampling and data curation pipelines
- Collaborate with stakeholders to define interfaces and requirements
- Conduct ML experimentation and evaluation
- Design and develop ML models for end to end autonomous driving
- Optimize ML inference and model deployment
- Train and deploy end to end autonomous driving models
Perks/Benefits
Skills/Tech-stack
AWS | Ablation Studies | Azure | C++ | Data Curation | Data Preprocessing | Distributed Training | GCP | Inference Optimization | JAX | Model Evaluation | ONNX | PyTorch | Python | TensorFlow | TensorRT
Education
Regions
Countries
States
Cities
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