2027 Summer Intern MSPhD Machine Learning Driver Refinement Foundations

Waymo LLC; Mountain View (CA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Housing/relocation bonus

Medical, dental, and vision insurance

Intern events

Onsite gym

Free meals and snacks

Google shuttle access

Job summary

Waymo LLC offers a hybrid onsite internship in Mountain View for graduate students in Computer Science. You will work on data-driven modeling, language models, and multimodal generation, under mentorship, with hands-on projects impacting Waymo Driver.

The role requires current enrollment in a Master's or PhD program, strong Python/C++ skills, and familiarity with Jax or PyTorch. Prior internship experience is preferred, and SQL knowledge is a plus.

Qualifications

• Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field.
• 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.

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.

Skills

Python

C++

Problem solving

Strong programming

Education

Graduate student in Computer Science (Master's or PhD)

Tools

Jax

PyTorch

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.

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!

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.

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