Mine and curate dataset samples from large corpus of driving data
Leverage large language models and world foundation models for reasoning, decision making and
Optimize Multimodal generative models using RLFT. Explore Reward modeling
Design and implement Evaluation metrics and iterate on improvements

🎯 Requirements

Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related
Strong problem solving and programming skills in Python and/or C++
Good understanding of Jax/Pytorch
Experience in model evaluation and developing metrics
Experience developing models

🎁 Benefits

Competitive compensation packages with a housing/relocation bonus (if applicable)
Medical, dental, and vision insurance
Fun intern events and networking opportunities
Free breakfast, lunch, dinner, and snacks
Free access to Google shuttles
Onsite gym

🚚 Relocation support

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