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Staff Machine Learning Engineer - Autonomy

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Wayve

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Location:
United Kingdom , London

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As a Staff Machine Learning Engineer within the Autonomy 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 personalization, 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 production.

Job Responsibility:

  • 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:

  • 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong 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

Nice to have:

  • Prior work in autonomous driving, imitation learning, or trajectory prediction
  • Familiarity with personalization, human behavior modeling, or driver intent inference
  • Experience integrating ML systems into production hardware or multi-agent simulation

Additional Information:

Job Posted:
January 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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