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2027 Summer Intern, MS/PhD, Research, Perception Foundation Models

WaymoMountain View, CA, USAPipeline (N/A)
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Salary
$70 — $70 USD
Job type
Internship
Experience
Internship
Posted
7 Oct 2026
Status
Open · checked 8d ago

About this role

Waymo is hiring a Research Intern in Perception Foundation Models for a hybrid onsite position in Mountain View, California. This summer internship suits graduate students pursuing a Master's or Ph.D. who want to advance autonomous driving technology through machine learning research.

Role Overview

The 2027 Summer Intern role focuses on research, implementation, and evaluation of zero-shot object detection models for autonomous driving. Interns collaborate directly with research and engineering groups to enhance foundational machine learning systems and potentially share findings through technical reports or academic publications.

Key Responsibilities

Research, implement, and evaluate zero-shot object detection models designed for autonomous driving applications
Work alongside engineering and research teams to advance and improve company foundation models
Conduct investigations and potentially communicate findings to the broader academic community via technical papers or reports

Requirements

Currently enrolled in a Master's or Ph.D. program studying Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related discipline
Documented publication record in top-tier robotics or AI and machine learning conferences
Practical background in training and assessing deep learning models geared toward robotics or autonomous driving use cases
Proficient Python programming abilities combined with knowledge of current deep learning frameworks
Thorough comprehension of modern learning paradigms and neural network architectures

Nice to Have

Background working with open-set perception models like SAM
Familiarity with datasets specific to autonomous driving
Experience utilizing open-source foundation models

Skills and Tools

Python
PyTorch
JAX
TensorFlow
Deep Learning Frameworks
Neural Network Architectures
Zero-Shot Object Detection
Open-Set Perception Models

Salary and Benefits

Expected hourly rate for Master's students is $70 USD
Expected hourly rate for Ph.D. students is $85 USD
Eligibility to participate in company benefits programs based on requirements

About the Company

Waymo operates as an autonomous driving technology organization with the objective of building a trusted driver system. Originating as the Google Self-Driving Car Project in 2009, the enterprise develops the Waymo Driver to enhance mobility access and reduce traffic accidents. The technology supports a fully autonomous ride-hail service and applies across multiple vehicle platforms, accumulating millions of autonomous miles on public roads and billions in simulation.

How to Apply

Interested candidates should submit resumes on the official company careers page.

Skills and tech stack

PythonPyTorchJAXTensorFlowSAMReinforcement LearningDeep LearningMachine Learning

Questions candidates ask

What is the location of this internship?

This is a hybrid onsite internship located in Mountain View, California, USA.

Who is eligible to apply for this role?

Applicants must currently be pursuing a Master's or Ph.D. degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field, with a strong publication record and practical deep learning experience.

What is the hourly pay rate for interns?

The expected hourly pay is $70 USD for Master's students and $85 USD for Ph.D. students.

Are benefits provided for this position?

Yes, interns are eligible to participate in the company's benefits programs, subject to specific eligibility requirements.

How can I apply for this position?

Candidates must apply directly through the official company careers page.

Ready to apply?

The application is on the official Waymo careers page.

Apply on company site