Machine Learning Engineer, App SW

📋 Job Overview

As an ML Engineer within the Application Engineering 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 personalisation, 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.

🏢 About Wayve

Wayve is a leading company in the field of autonomous driving technology, focusing on machine learning and AI to advance the capabilities of self-driving vehicles.

🎯 The Role

You will be responsible for developing and improving end-to-end driving models with state-of-the-art performance, robustness, and generalization. You will lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment. Your work will involve building evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness. You will also curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development. Additionally, you will influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems. Collaboration across various teams to ensure integration and iteration velocity will be a key part of your role. You will also mentor senior engineers and shape the long-term technical direction across Autonomy.

✅ 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.

📌 Required Qualifications

• 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.

⭐ Desirable Experience

• 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.

🎁 Benefits

The reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

🛂 Visa & Eligibility

No specific visa or eligibility information provided.