September 6
🏢 In-office - Bay Area
• Research areas encompass Foundation Models, building VLM from scratch, 3D reconstruction, scalable end-to-end models for Autonomous Driving. • Work with cross teams to deploy machine learning solutions for multiple perception tasks. • Deliver pre-trained and fine-tuned models for autonomous driving. • Work with massive image and video datasets to build robust data driven models.
• PhD or Master in computer science, electrical engineering, or other related fields. • Experience in working with CNNs/RNNs and generative models such as LLMs, diffusion models. • Programming fluently in Python with a deep understanding of software design, programming techniques, and algorithms. • Master one of several mainstream machine learning development framework such as TensorFlow, PyTorch, MXNet.
• A fun, supportive and engaging environment • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving • Opportunity to work on cutting edge technologies with the top talent in the field • Competitive compensation package • Snacks, lunches, and fun activities
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