2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
- Mountain View, United States
- Internship
- Intern/New Grad
- Posted
Responsibilities
- 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
Requirements
- 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
The subteam for this role will be
Driver Refinement foundations - The team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms, including the Data Flywheel and the Reasoning platform, to assist Waymo engineers in delivering driving behavior improvements using data-driven and heuristic methods.
Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
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
- 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 PhD Pay
- $85
- $85 USD
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