Research Scientist Intern, World Modelling

Reposted 14 Days Ago
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London, Greater London, England
In-Office
Internship
Artificial Intelligence • Transportation
The Role
As a Research Scientist Intern, you'll build controllable video diffusion models and efficient world models for autonomous driving simulations, contributing to real-world embodied AI problems.
Summary Generated by Built In

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.  

About us   

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. 
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  

Make Wayve the experience that defines your career!  

We’re looking for a curious and motivated World Modelling Intern to help advance the next generation of generative world models for autonomous driving. In this role, you’ll work embedded in a research team to build controllable video diffusion models and efficient world models that enable realistic, interactive simulations of complex driving environments.

The ideal candidate has experience in some combination of generative models, world modelling, 3D vision, or efficient ML, and must be motivated to apply research ideas to real-world embodied AI problems! We’re particularly interested in diffusion-based video generation, streaming world models, and geometrically accurate, long-horizon rollouts for robotics and autonomous driving, where every cm of precision matters. Experience with representation learning or scaling large generative systems is a plus, but not required.

If you’re curious, hands-on, and eager to explore new ideas, you’ll thrive here. We’re looking for people who enjoy experimenting, learning from failure, and turning research into impact — those who want to see their work come alive in real-world autonomy challenges.  If this all speaks to you, we can’t wait to meet you!

The role

What you will bring to Wayve

Essential:

  • Currently pursuing a PhD or Masters in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on Machine Learning, AI, or Computer Vision.
  • Experience in research with one or more of: generative models, world modelling, 3D vision, diffusion models, or efficient ML.
  • Interest in synthetic data, simulation-to-reality transfer, representation learning, or model scaling.
  • Comfortable working in Python and libraries like PyTorch, NumPy, and Pandas.
  • An experimental mindset: you enjoy building, testing, and iterating on ideas to see what works.

Desirable:

  • Experience collaborating on research projects or contributing to shared codebases.
  • Publications or submissions at venues such as CVPR, ICCV, CoRL, NeurIPS, ICML, ICRA, or RSS are a nice bonus, but not required!

What we offer:

  • The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving. 
  • Unlike our competitors, Wayve is still relatively small and nimble, giving you the chance to make a huge impact
  • Competitive compensation and benefits
  • A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the a diverse team of the brightest researchers and engineers in this spaceA culture that is ego-free, respectful and welcoming!
  • Potential to publish your research work at a top flight conference 

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

For more information visit Careers at Wayve. 

To learn more about what drives us, visit Values at Wayve 

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.



Top Skills

Numpy
Pandas
Python
PyTorch
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The Company
HQ: London
200 Employees
Year Founded: 2017

What We Do

We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.

Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.

Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!

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