Wayve
Machine Learning Engineer, App SW
Sunnyvale, California USA · 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
- As an ML Engineer within the Application Engineering team, you'll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalisation, comfort, and collaboration.
- You'll design and deliver ML-driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You'll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for
Responsibilities
- Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
- Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
- Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
- Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
- Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Requirements
- Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
Skills
- Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment.
Compensation
- This role is a full-time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package.
Benefits
- Extensive and proven track record of shipping deep learning systems to production.
- Expert in deep learning (esp. sequential models, control, planning, or perception).
- Prior work in autonomous driving, imitation learning, or trajectory prediction.
- Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
- Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
- In order to set you up for success as a 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 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.