Senior ML Engineer, Autonomous Driving Core (Hybrid London)

Wayve; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Wayve in London is seeking a Senior Machine Learning Engineer for the AV Core team to lead on data curation and model introspection for robust driverless operation. You will bring insight into real-world algorithm performance, identify failure modes, and drive improvements with large-scale training data and fleet data.

You will collaborate with research, simulation, evaluation and applied engineering, owning a technical area and guiding others through strong communication and leadership.

Qualifications

• Hands-on experience with ML systems deployed in the real world.
• Proficiency in Python and PyTorch, with strong software engineering practices and hands-on experience building reliable ML training/evaluation systems.
• Experience with distributed computing environments and large-scale inference.
• Senior-level ownership and collaboration across research and engineering boundaries, with clear communication.

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 for 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 to improve the efficiency of the ML and operations stack.

Skills

Python

PyTorch

ML systems

Distributed computing

Leadership

Tools

CUDA

Job description

Wayve in London is seeking a Senior Machine Learning Engineer for the AV Core team to lead on data curation and model introspection for robust driverless operation. You will bring insight into real-world algorithm performance, identify failure modes, and drive improvements with large-scale training data and fleet data.

You will collaborate with research, simulation, evaluation and applied engineering, owning a technical area and guiding others through strong communication and leadership.