2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
Full Job Posting
You will
Mine and curate dataset samples from large corpus of driving data
Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation
Optimize Multimodal generative models using RLFT. Explore Reward modeling
Design and implement Evaluation metrics and iterate on improvements
You have
Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field
You have 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
We prefer
Some understanding of SQL is preferred, not required
Previous Internship experience
PhD preferred
General Perks
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
Onsite Perks
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
- Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
- The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
- Hourly Masters Pay
- $70 — $70 USD
- Hourly PhD Pay
- $85 — $85 USD
About Waymo
Autonomous driving technology company and robotaxi service provider.
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