2027 Summer Intern, PhD, Machine Learning, Planning/Prediction

Waymo LLC; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Benefits

Job summary

Waymo LLC, Mountain View, is offering a hybrid onsite internship on the Predictive Planning team. You will research, implement, and evaluate state-of-the-art models for planning and predictions and collaborate with ML researchers to deploy insights for the Waymo Driver.

Requirements: PhD candidate in CS, ML, or robotics; experience with transformers and reinforcement learning; hands-on with TensorFlow, JAX, or PyTorch and Python; strong analytical skills.

Qualifications

• Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field
• Experience with Transformers architecture and reinforcement learning
• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) with basic programming skills (eg: Python)
• Strong analytical and debugging skills

Responsibilities

• Research, implement, and evaluate state-of-the-art models for planning and predictions
• Analysis of results in both open-loop and closed-loop
• Conduct machine learning experiments using JAX and Python
• Collaborate within and across teams, and present conclusions/insights clearly

Skills

Transformers

Reinforcement learning

Python

JAX

TensorFlow

PyTorch

Analytical skills

Debugging

Education

PhD in Computer Science / ML / Robotics

Tools

TensorFlow

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 buildsthe brains ofWaymo'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:

The Predictive Planning team (PrePlan) develops and deploys state of the art machine learning solutions that predicts the future State of the world and plan the Waymo Driver's Behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performat deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

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:

• Research, implement, and evaluate state-of-the-art models for planning and predictions
• Analysis of results in both open-loop and closed-loop
• Conduct machine learning experiment using JAX and Python
• Collaborate within and across teams, and present the conclusion / insights in a clear manner

You have:

• Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field
• Experience with Transformers architecture and reinforcement learning
• Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) with basic programming skills (eg: Python)
• Strong analytical and debugging skills

We prefer:

• Publications in top-tier machine learning or robotics conferences
• Prior software development or research industry experience
• Background knowledge in the AV industry, particularly for behavior-related research

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 PhD Pay

$85-$85 USD