Machine Learning Engineer - AI Foundation
August 23
🏢 In-office - Bay Area
Description
• 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. • Work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models.
Requirements
• Master in CS/CE/EE, or equivalent, in industry experience. • Good knowledge of PyTorch. • Knowledge of model training framework (e.g. PyTorch Lightning) • Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. • Experience of using pytorch ddp for distributed training of models.
Benefits
• 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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