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Develop and implement generative models for planning and prediction in autonomous vehicles using JAX and modern deep learning frameworks. This summer internship requires PhD-level study in computer science, machine learning, robotics, or related fields, with hands-on experience in deep learning or reinforcement learning and proficiency in Python, C/C++, and libraries like TensorFlow, JAX, or PyTorch. Work hybrid onsite with the Predictive Planning team on research implementation, model experiments, and production-quality code. $85/hour.

Written from this posting by Neural Jobs AI. The full description is below.

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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:

The Predictive Planning team (PrePlan) develops and deploys state of the art machine learning solutions that predicts the future state of the world and plans the Waymo Driver's Behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and perform at 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: TensorFlow, 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, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • Prior software development or research industry experience (including internships)

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 PhD Pay
$85—$85 USD
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  • Role 2027 Summer Intern, PhD, Machine Learning Research, Planning/Prediction
  • Experience No experience yet
  • Education Bachelor Degree
  • Work type On-site
  • Location United States
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Waymo
Robotics & Autonomy · 500+ Members · Mountain View, CA, United States

Waymo develops autonomous-driving technology and operates fully autonomous ride-hailing through Waymo One. Its Waymo Driver combines software, maps, cameras, lidar, radar, onboard computing, simulation, and operational systems to navigate public roads without a human driver. The company deploys the technology through purpose-selected vehicle platforms and partnerships, with safety validation central to its development process. Waymo originated as Google's self-driving car project and now operates as an Alphabet company focused on autonomous mobility.

Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 week ago
Job Type
Intern
Education
Bachelor Degree
Experience
No experience yet

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