Machine Learning Engineer, Application Software

Overview

As a Machine Learning Engineer at Wayve, you will develop ML-driven driving behaviours that scale from assisted to autonomous modes, shaping model architectures, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate with AI Platform, Simulation, Robot Software, and Model Release teams to build production-ready systems that improve safety, robustness, and user-aligned driving experiences. This role offers technical leadership across teams and a chance to influence the long-term autonomy roadmap.

Pay / Benefits

• Hybrid working model
• Relocation support and visa sponsorship
• Learning and development budgets
• Comprehensive health benefits
• Dental coverage
• Enhanced maternity/paternity leave

Responsibilities

• Develop and improve end-to-end driving models for performance, robustness, and generalisation.
• Lead initiatives in personalised and collaborative driving including behaviour conditioning and comfort tuning.
• Build evaluation pipelines and metrics for open-loop and closed-loop driving readiness.
• Curate real-world and synthetic data to enhance scenario diversity and feature development.
• Collaborate across engineering teams to integrate models and accelerate deployment.
• Mentor senior engineers and influence architecture, training, and deployment decisions.

Key requirements

• Extensive track record shipping deep learning systems to production.
• Deep expertise in deep learning, especially sequential models, control, planning or perception.
• Proficiency in Python; experience with C++ or CUDA; comfort with ML frameworks, notably PyTorch.
• Strong software engineering fundamentals; experience building reliable ML systems.
• Experience with real-time systems or robotics, ideally including simulation-in-the-loop or vehicle-in-the-loop components.
• Ability to lead cross-team initiatives and mentor engineers.

• Cross-team collaboration
• Technical leadership
• Mentoring engineers
• Python
• C++ or CUDA
• PyTorch

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