I applied online. I interviewed at Wayve (London, England) in Mar 2025
Interview
An automated online coding interview to access the onsite interview.
The coding was doable, probably leetcode mediums.
The onsite was really fun, a research interview on how you would approach a problem related to computer vision and questions on knowledge of vision transformers style architecture. Then a group-based exercise with other candidates where you have to discuss with them and come up with a solution to a real world problem.
Thank you for taking the time to share this and for the effort you put into the process overall.
We’re really glad to hear you found the onsite engaging and enjoyed the research-focused discussions! It’s important to us that candidates get a genuine sense of how we think and work together, so it’s encouraging to hear that came through.
We also appreciate your comments on the online coding stage. Feedback like this helps us keep checking that our assessments are fair and relevant.
We wish you the very best in what you do next! :)
- Wayve Team
Multiple stages. First stage is online coding using codesignal (or a similar platform) without proctoring as well as a screening interview with an HR member. Next stage included a all in-person interview day. First a technical interview with a researcher/engineer in the company. Then you will have a going around the city with one of the autonomous cars for about 30 mins with a few other candidates. Then there will be a system design question where you and 2-3 other peers are supposed to work in team (and think out loud in presence of a few reserachers/engineers and managers of the company) towards solving the problem. The team is fast to come back with a decision (less than 2 weeks after the final stage).
Interview questions [1]
Question 1
- What is Contrastive Learning?
- Where are Transformers better and where are Convolutional Layers better?
- Talk about Optimizers. Which one you would select?
- What would you do when data is imbalanced?
- Talk about one of your papers (and they asked multiple questions in the middle)
Thank you for taking the time to share this detailed overview of your interview experience!
It’s helpful to understand how the different stages landed. We aim to give candidates a clear and realistic sense of the work, collaboration style, and environment at Wayve, and it’s good to hear that this came through. We’re also very aware that the process is demanding, and we don’t take that time investment lightly.
Your feedback on the technical discussions and decision timelines is appreciated and feeds directly into how we continue to review and improve the experience.
We wish you all the best in your future roles!
-Wayve Team
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