Summer Intern, PhD, Road Understanding, ML Engineer

# 2027 Summer Intern, PhD, Road Understanding, ML Engineer Waymo Mountain  View, California

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This internship develops machine-learning methods for understanding road geometry and connectivity from vehicle sensors and map information. You’ll train and evaluate models, investigate errors, and work with teams assessing their impact on downstream planning.
* Internship* Hybrid
* PhD (in progress)### Skills and expertise

Python Py Torch JAXTensor

Flow computer vision3D perception graph neural networks spatial reasoning### Key responsibilities
* Build models for lane geometry detection and road-network topology decoding.
* Train neural networks using vehicle sensor data and map priors.
* Benchmark model accuracy, analyze failures, and assess downstream planning impact.## How this job compares

Compared with 45 open intern machine learning jobs on October 10, 2026.Similar open jobs:
We Love AI Jobs lists 45 open intern machine learning jobs at 26 companies.

Remote work:
This job is hybrid. 2 of the 45 intern machine learning jobs (4%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The role involves designing, training, and debugging deep learning models for road understanding. Model evaluation and iteration are central to the work.## Full 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 DriverTM—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.

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:
• Designing and Building Machine Learning Models:
Writing clean, high-performance code to implement core algorithms for entity-centric lane geometry detection and relational topology decoding (e.g., merges, splits, predecessor/successor connectivity).
• Running Experiments and Training Pipelines:
Setting up data pipelines and training neural networks across vehicle sensor modalities and map priors, leveraging techniques like proxy auto-encoding and prior-dropout to handle real-world challenges like construction zones and occlusions.
• Benchmarking and Analyzing Performance:
Creating structured evaluation metrics to benchmark model accuracy and topological correctness…