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LeadFull-timePythonC++PyTorchAIML
Salary Range
$107,100 - $144,900 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal 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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