Machine Learning Engineer, Application Software

Overview

In this role you will advance ML-driven driving behaviors from assisted to autonomous levels, shaping models and data pipelines for real-world use. You’ll collaborate with AI Platform, Simulation, Robot Software, and Model Release teams to deliver production-ready systems.

You’ll design evaluation frameworks and curate data to improve scenario coverage, aiming for scalable, robust autonomy. The role offers ownership of cross-team initiatives and a direct impact on driving safety and user experience.

This is a mission-driven opportunity to contribute to Wayve’s scalable, mapless autonomy platform.

Pay / Benefits

• hybrid working
• equity ownership
• relocation support and visa sponsorship
• learning and development budgets
• comprehensive health benefits
• wellbeing partnerships

Responsibilities

• Develop and improve end-to-end driving models for performance, robustness and generalisation
• Lead initiatives in personalised and collaborative driving (behaviour conditioning, comfort tuning, user alignment)
• Build evaluation pipelines and metrics for open-loop and closed-loop driving
• Curate real-world and synthetic data to enhance scenario diversity and feature development
• Collaborate across engineering teams to accelerate iteration and support deployment
• Mentor senior engineers and influence architecture, training and deployment decisions
• Shape model architectures, training methodologies and deployment pathways across platforms
• Lead cross-team initiatives and define long-term technical direction of autonomy capabilities

Key requirements

• Extensive track record shipping deep learning systems to production
• Deep expertise in deep learning (sequential models, control, planning or perception)
• Proficiency in Python and experience with C++ or CUDA; solid ML framework experience (PyTorch)
• Strong software engineering practices and reliable ML system development
• Experience with real-time systems or robotics (simulation-in-the-loop or vehicle-in-the-loop)
• Ability to lead cross-team technical initiatives, align stakeholders, and mentor engineers
• cross-functional collaboration
• technical leadership
• mentoring
• Python
• C++
• CUDA

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