Senior Machine Learning Engineer - AV Core

Job description

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role 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. Key responsibilities 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 e…