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2027 Summer Intern, MS/PhD, Machine Learning, Simulation Realism

London, England, United Kingdom

Pay
Multiple pay statements — pay source
Masters Pay £65,000—£65,000 GBP The expected annual pay 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.
PhD Pay £80,000—£80,000 GBP
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Work setting
Not stated
Employment
Not stated
Apply at Waymo

What you’ll work on

Full posting
  • Contribute to existing projects

  • Implement research ideas into existing projects

  • Run training and evaluation experiments

From the employer’s posting
Contribute to existing projects
Implement research ideas into existing projects
Run training and evaluation experiments

What you’ll bring

All qualifications

Core experience

  • Currently enrolled in a Master's or PhD program in Computer Science, Robotics or a related technical field
  • Python coding
  • Deep learning experience with frameworks like TensorFlow, Jax or PyTorch

Preferred experience

  • Attention mechanism and autoregressive architectures
  • Diffusion applied to multimodal data
  • Experience with autonomous driving and / or robotics
Qualification wording
Currently enrolled in a Master's or PhD program in Computer Science, Robotics or a related technical field
Python coding
Deep Learning experience with frameworks like TensorFlow, Jax or PyTorch
Attention mechanism and autoregressive architectures
Diffusion applied to multimodal data
Experience with autonomous driving and / or robotics
Education & alternatives
You have: - Currently enrolled in a Master's or PhD program in Computer Science, Robotics or a related technical field - Python coding
The expected annual pay 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. PhD Pay £80,000—£80,000 GBP

Tools in this posting

  • Python
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- Currently enrolled in a Master's or PhD program in Computer Science, Robotics or a related technical field - Python coding - Deep Learning experience with frameworks like TensorFlow, Jax or PyTorch
- Python coding - Deep Learning experience with frameworks like TensorFlow, Jax or PyTorch We prefer:

Posting record

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Status in our records
Live
First seen by us
Oct 14, 2026 · 15 days ago
Recorded sightings
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Last seen by us
Oct 29, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on careers.withwaymo.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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. 

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:

  • Contribute to existing projects
  • Implement research ideas into existing projects
  • Run training and evaluation experiments

 

You have:

  • Currently enrolled in a Master's or PhD program in Computer Science, Robotics or a related technical field
  • Python coding 
  • Deep Learning experience with frameworks like TensorFlow, Jax or PyTorch

 

We prefer:

  • Attention mechanism and autoregressive architectures
  • Diffusion applied to multimodal data
  • Experience with autonomous driving and / or robotics

 

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 annual pay 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.

Masters Pay
£65,000—£65,000 GBP

The expected annual pay 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.

PhD Pay
£80,000—£80,000 GBP
Source details

View original posting ↗

Source notes

Source excerpts

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Pay
Masters Pay £65,000—£65,000 GBP The expected annual pay 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.
More source context
PhD Pay £80,000—£80,000 GBP
Location & working pattern

London, England, United Kingdom

- Experience with autonomous driving and / or robotics 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 annual pay 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.
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