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Mid LevelFull-timePythonC++Machine LearningPyTorchAIML
Salary Range
$71,400 - $96,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML Engineer to join the Application Engineering team at Wayve, a leading developer of Embodied AI technology. This role involves leading critical initiatives that push the frontier of model-based autonomous driving, focusing on core driving performance and feature-level intelligence.
Key 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.
- →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.
- →Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
- →Mentor senior engineers and shape the long-term technical direction across Autonomy.
Requirements
- ✓Extensive and proven track record of shipping deep learning systems to production.
- ✓Expert in deep learning (esp. sequential models, control, planning, or perception).
- ✓Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
- ✓Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
- ✓Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
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