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Summer Intern, PhD, Software Engineer, Simulation

Remote / Online - Candidates ideally in
Mountain View, Santa Clara County, California, 94039, USA
Listing for: We Love AI Jobs
Full Time, Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-19
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Software Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 85 USD Hourly USD 85.00 HOUR
Job Description & How to Apply Below
# 2027 Summer Intern, PhD, Software Engineer, Simulation Waymo Mountain  View, CA, USAInternshipAI tools:

Tensor

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This PhD internship focuses on improving transformer-based classifiers used in Waymo’s autonomous driving simulation. You will implement uncertainty-aware algorithms and validate the changes through end-to-end evaluation.
* Internship* Hybrid
* PhD Candidate
* PhD in progress### Skills and expertise

Python Tensor Flow JAXmachine learning deep learning transformers

Tensor

Board version control### Key responsibilities
* Implement uncertainty-aware algorithms to improve transformer-based multi-task classifiers.
* Implement and evaluate model changes end to end.
* Verify data and model implementations against the experiment plan.## 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 work centers on improving and evaluating transformer-based classifiers, with hands-on deep learning model development.## 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:
• Implement uncertainty aware algorithms that improve the performance of transformer-based multi-task classifiers
• Implement the changes end-to-end, including eval
• Ensure both data and model implementation are correct according to the experiment plan. Pay attention to details about the mechanics of the modeling setup

You have:
• Currently enrolled in a PhD program in Computer Science, Robotics, Electrical Engineering, or a related quantitative field
• Strong programming proficiency in Python and hands-on experience with deep learning frameworks (e.g., Tensor Flow, JAX)
• Solid theoretical understanding of machine learning and deep learning fundamentals, including debugging transformer based models with Tensor Board metrics
• Familiarity with software development…
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