2027 Summer Intern, MS/PhD, Sim-Realism ML Infrastructure
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
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingContribute to existing projects that maintain millions of multi-modal examples and PiBs of feature data
Implement new systems to improve existing workflows
Work with users and agents to identify use cases and flows that can be improved
From the employer’s posting
Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data.
Implement new systems to improve existing workflows.
Work with users and agents to identify use cases and flows that can be improved.
What you’ll bring
All qualificationsCore experience
- Currently enrolled in a Master's or PhD program in Computer Science or a related technical field
- Python / C++ coding
- Distributed systems
- Familiarity with ML training and inference lifecycles
Preferred experience
- Hands-on experience with feature extraction, feature representations, and distributed storage
- Experience with deep learning frameworks such as TensorFlow or Jax
- Experience with autonomous driving and/or robotics
Qualification wording
Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field.
Python / C++ Coding.
Distributed Systems.
Familiarity with ML training and inference lifecycles.
Hands on experience with feature extraction, feature representations, distributed storage.
Experience with deep learning frameworks, TensorFlow, Jax.
Experience with autonomous driving and / or robotics.
Education & alternatives
You will: - Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field. - Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data. .
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
- C++
- Python
- TensorFlow
Source — Tool mentions in context
You have: - Python / C++ Coding. - Distributed Systems.
- Hands on experience with feature extraction, feature representations, distributed storage. - Experience with deep learning frameworks, TensorFlow, Jax. - Experience with autonomous driving and / or robotics.
Posting record
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- Live
- First seen by us
- Oct 14, 2026 · 15 days ago
- Recorded sightings
- 100
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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
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.
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:
- Currently enrolled in a Master's or PhD program in Computer Science, or a related technical field.
- Contribute to existing projects maintaining millions of multi-modal examples and PiBs of feature data. .
- Implement new systems to improve existing workflows.
- Work with users and agents to identify use cases and flows that can be improved.
You have:
- Python / C++ Coding.
- Distributed Systems.
- Familiarity with ML training and inference lifecycles.
We prefer:
- Hands on experience with feature extraction, feature representations, distributed storage.
- Experience with deep learning frameworks, TensorFlow, Jax.
- 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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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