2027 Summer Intern, PhD, Machine Learning, Simulation Realism

Waymo
London, United Kingdom
On-site

Who this role is best for

PhD candidates with simulation and machine learning experience will find this role in autonomous driving technology at Waymo in London.

Best fit for

  • PhD candidates with simulation and machine learning experience in autonomous driving or robotics
    — “Experience with autonomous driving or robotics”
  • Individuals with strong Python and tensor manipulation skills using ML frameworks
    — “Proficient in Python Coding and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow / etc.)”
  • Researchers focused on post-training and reinforcement learning techniques
    — “Hands-on experience with post-training and reinforcement learning”

Things to consider

  • Hybrid onsite internship may require significant in-person commitment despite flexibility
    — “This will be a hybrid onsite internship position”
  • Applying to multiple roles requires individual applications and prioritization
    — “To be in consideration for multiple roles, you will need to apply to each one individually”

How to stand out

  • Highlight deployment of adversarial agents in simulation environments on your resume
    — “Develop controllable & realistic adversarial agents for more efficient simulation based evaluation and deploy them in the Waymo Simulator”
  • Emphasize contributions to post-training recipes for foundation models in your interview narrative
    — “Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World Models”
  • Demonstrate attention to technical depth in areas like attention mechanisms or diffusion models
    — “Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Develop adversarial agents for efficient simulation evaluation
  • Iterate on post-training recipes for Foundation Models
Typical background
PhD in Computer Science, Machine Learning, Robotics

Skills & requirements

Required

Machine LearningDeep LearningPythonTensor Manipulation

Preferred

Reinforcement LearningAttention MechanismsAutoregressive Architectures

Stack & domain

PythonTensor ManipulationMachine LearningDeep LearningAutonomous Driving

About the role

Original posting from Waymo

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:

Develop controllable & realistic adversarial agents for more efficient simulation based evaluation and deploy them in the Waymo Simulator

Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World Models

You have:

Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field

Proficient in Python Coding  and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow / etc.)

Experience with Machine Learning and Deep Learning

Hands-on experience with models post-training and reinforcement learning

We prefer:

Hands-on experience with post-training and reinforcement learning

Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures

Experience with autonomous driving 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.

PhD Pay£80,000—£80,000 GBP

Source: Waymo careers

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