Wayve
Machine Learning Engineer, App SW
Sunnyvale, California USA · Full-time
Sponsorship not specified$284k-$382kDetected 55 days ago
PythonC++Machine LearningDeep LearningPyTorchData EngineeringRoboticsAdaptability
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.
This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.