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2026 Summer Intern, PhD, Machine Learning Research, Planning/Prediction

Waymo

2026 Summer Intern, PhD, Machine Learning Research, Planning/Prediction

Waymo

Mountain View, CA USA

·

On-site

·

Internship

·

1w ago

Compensation

$176,800 - $176,800

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Python

Deep Learning

Reinforcement Learning

C/C++

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.

The Predictive Planning team (Pre Plan) 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 generative models for planning and predictions using JAX

Conduct machine learning models experiments

Produce high-quality, thoroughly tested code

  • Collaborate with research, product, and engineering teams to introduce new research concepts

You have:

Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field

Experience with deep learning, or reinforcement learning

  • Hands-on experience with modern deep learning libraries (eg: Tensor Flow, JAX, Pytorch) with basic programming skills (eg: Python, C/C++)

Strong analytical and debugging skills

We prefer:

Publications in top-tier conferences such as : ICML, NeurlPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP

  • Prior software development or research industry experience (including internships)

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 PhD Pay**$85—$85 USD**

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About Waymo

Waymo

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

Employees

Mountain View

Headquarters

$200B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.5

Career

3.5

Management

3.5

85%

Recommend to a Friend

Pros

Excellent engineering culture

Interesting technical domain

Elite perception team

Cons

Compensation may not be competitive with other tech companies

Career trajectory concerns

Limited advancement opportunities

Salary Ranges

1,233 data points

Mid/L4

Mid/L4 · Data Scientist

38 reports

$280,748

total / year

Base

$183,551

Stock

$74,549

Bonus

$22,649

$187,768

$434,285

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

Common Questions

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge