Wayve
Staff Machine Learning Engineer, AV Core
Sunnyvale, California USA · Staff+ · Full-time
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Align priorities and learn from the organisation - with AV Core, Evaluation, and Product Engineering on roadmaps and failure modes; from fleet, simulation, and product feedback; and through mentoring others on the team.
Responsibilities
- Drive Core Model Safety roadmap themes owning the full lifecycle from research to offline/online experiments to technology transfer.
- Train and deploy end-to-end AV 2.0 models on our global fleet, using large-scale, diverse data to validate capabilities and improve generalisation across vehicles, markets, and driving conditions.
- Maintain awareness of the wider business context - division and company priorities, near-term product programmes, and how Core Model Safety work enables them.
- 5+ years in ML engineering, including pathfinding in ambiguous problems - from scoping and evals to establishing a direction (and knowledge transfer) for others to build on.
Requirements
- Experience with redundant or fallback architectures, safety-critical systems.
Compensation
- The reasonably estimated salary for this role ranges from $336,400 to $370,300, plus a competitive equity package.
Benefits
- Hands-on experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent.
- Experience in 3D scene understanding and representation learning for geometric and semantic perception, large-scale semantic enrichments.
- Build high-value open-loop and closed-loop evaluations for core capabilities and representation learning.
- In order to set you up for success as a Staff Machine Learning Engineer at Wayve, we're looking for the following skills and experience.
Company info
- ABOUT YOU In order to set you up for success as a Staff Machine Learning Engineer at Wayve, we're looking for the following skills and experience.
- At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.