Senior Machine Learning Engineer (AV Core)

• As a Senior Machine Learning Engineer in Wayve’s AV Core organisation, you will lead on methods for large-scale data curation and mining, including rare events from a heterogeneous Fleet, enabling model introspection for robust driverless operation. You will bring insight into how our algorithms perform in the real world, seek failure modes, and drive ways to efficiently Improve and evaluate them
• The Core Model Safety team builds foundational capabilities for assisted and automated driving - collision avoidance, model understanding, and robustness under failure You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied Engineering
• Lead on large-scale data enrichment within the Core Model Safety team, including collaborations with Pre/Midtraining, reward modelling, self-supervised labelling, and the Data Enrichment Platform
• Build workflows for large-scale enrichment, data curation, and hard/rare event mining in support of robust model performance and introspection
• Design and train out-of-distribution detection mechanisms to enable robust driverless operation
• Work at the intersection of model engineering, infrastructure, compute, and data, shaping the boundaries and architecture across those teams
• Use your judgement and expertise to improve the overall efficiency of the machine learning and operations stack

Benefits

• Private healthcare: Choose our optional health insurance for comprehensive coverage for you and your family.
• Paid time off: Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
• Mental health resources: Through Spill, you can access therapy and mental health support.
• Community and socials: Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
• Competitive compensation: Our compensation package includes cash and equity, making you a true partner in our success.
• Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.- Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable machine learning training and evaluation systems
• Hands-on experience with ML systems deployed in the real world
• Senior-level ownership and collaboration: able to lead a substantial technical area, work across research and engineering boundaries, and bring others along through clear written and verbal communication
• A strong track record with ML operations and infrastructure, including experience with distributed computing environments and large-scale inference
• Prior experience in autonomous vehicles or robotics with hands-on deployment and closed-loop validation on physical systems
• Experience setting up cloud-based monitoring solutions for large-scale operations, including dashboards, logging, and real-time alerts
• Experience mining, generating, or evaluating rare events using simulation and fleet or heterogeneous real-world data
• Experience with transformer-based and multimodal architectures, including vision-language models (VLM), vision-language-action models (VLA), or equivalent
• Proficiency in C++, CUDA, distributed training, or performance optimization for production machine learning systems