Senior Machine Learning Engineer, AI Infrastructure, Autonomy
- Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles
- Improve ecosystem for training infrastructure and deployment pipeline to accelerate model iteration and improve performance.
- PhD in CS/CE/EE, or equivalent, in industry experience
- Deep knowledge of PyTorch
- Experience with Cuda or Triton language for writing custom ops
- Knowledge of model training framework (e.g. PyTorch Lightning)
- In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models
- Experience of performing large scale distributed training of models
- A track record of profiling model and doing detective work to improve model training and inference speed
- Previous experience in the autonomous driving industry
- Knowledge of Nvidia TensorRT
- Experience with edge computing systems
- Knowledge of model optimization including quantization, pruning, etc.
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