Staff Machine Learning Engineer - AI Foundation
- 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.
- PhD in CS/CE/EE, or equivalent, in industry experience.
- Deep knowledge of PyTorch.
- 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.
- Experience with cuda or Triton language for writing custom ops.
- Knowledge of Nvidia TensorRT.
- Experience with edge computing systems.
- A track record of efficiently solving complex problems collaboratively on larger teams
- A fun, supportive and engaging environment
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
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