Wayve
Robotics · AV foundation models
- HQ
- London, GB
- Founded
- 2017
- Website
- wayve.ai
Wayve currently has 52 active AI-related job listings. The majority of these roles, 44%, are in the application stage, with another 23% focused on data. Engineering is the most frequent function, and the United States and the United Kingdom are the top hiring countries. Frequent tech tags include embodied_ai, model_serving, and evals, suggesting a focus on deploying and evaluating AI models for real-world applications. Over the last 30 days, Wayve posted 10 new AI roles, a 37% decrease compared to the previous 30-day period.
Currently tracking 44 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $204k–$580k (avg $337k).
Wayve currently has 8 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer, Machine Learning Engineer, App SW, Machine Learning Manager, App SW, Principal Engineer, Data & Compute, Register your interest for Wayve in Germany. Most positions are in Engineering and Product.
Wayve's active AI hiring is concentrated in: application (63%), data (25%), serving infrastructure (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Wayve is hiring AI talent in: United States (4 roles), United Kingdom (2 roles), Japan (2 roles), Germany (2 roles).
Job postings at Wayve most frequently mention: Machine Learning, Performance Optimization, Autonomous Driving, System Design, Simulation.
In the past 30 days, Wayve has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Tech Lead, Wayve Labs The role focuses on designing and training large-scale embodied foundation models for autonomous driving, developing world models and planners, innovating in reinforcement learning and reward modeling, and conducting empirical research on scaling laws and generalization. It involves working at the intersection of machine learning, simulation, robotics, and real-world deployment. | Post-trainAgent | 9 |