Wayve Senior Machine Learning Engineer at Wayve building and fine-tuning scene-understanding models for offline measurement of driving performance. Collaborate with multiple teams to improve model accuracy and generalisation.
Responsibilities
Build, train, and fine-tune scene-understanding models for offline measurement
Adapt on-vehicle architectures and Wayve foundation models for offline use
Improve accuracy and generalisation across vehicle platforms, geographies, and driving conditions
Benchmark models, diagnose failure modes, and use error analysis to guide iteration
Define quality bars and statistically credible evidence for validation pipelines and safety cases
Collaborate with on-vehicle modelling, evaluation, data curation, and simulation teams
Mentor others and contribute to strong machine-learning and engineering practices
Qualification
Experience in 3D scene understandingMore about WayveThis role is based in Sunnyvale🔍 The Interview ProcessCompetency interview (HM ScreenExperience with offline modellingExperience with auto-labellingExperience with autonomous vehiclesExperience with roboticsExperience with distributed training
Required
You are proficient in Python and PyTorch or a similar framework and comfortable with large-scale training.
You can take ambiguous modelling problems from scoping to a working, measurable solution.
Experience in 3D scene understanding, offline modelling, auto-labelling, temporal or world models, autonomous vehicles, robotics, or distributed training is valuable.
🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.
More about Wayve
🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale.
Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4.
How we work 💻 — Locations & Flexible Working
This role is based in Sunnyvale. We operate a hybrid model that combines in-person collaboration with focused time working remotely.
