Wayve

Applied Scientist / Machine Learning Engineer

Sunnyvale, California USA · Full-time

Sponsorship not specified$312k-$370kDetected 21 days ago

PythonMachine LearningPyTorchSparkComputer VisionLLMsRoboticsResearch

About the role

This role sits in the AI Platform organisation, on the data flywheel that powers every model we ship.
As deployment scales, the bottleneck is shifting from raw model capacity to the quality and intelligence of the data engine and the rigour of how we measure progress.
There are three areas we are hiring into, and you can go deep in any one of them:

Build high-quality enrichments that teams across the company depend on, through (semi-)automated enrichment and labeling pipelines and data quality at scale.
Build and fine-tune large-scale pretrained models, and run smaller-scale experiments to test and derisk ideas before committing serious compute.
Help build the best embodied VLM / VLA in the world for driving (the LINGO line): push multimodal perception, reasoning, language, and action.

Strong ML and software fundamentals, and a track record of taking ML from research into production systems that run at scale.
Experience with large-scale data and/or large neural networks, and the judgment to know which experiments and which data actually matter.

The reasonably estimated salary for this role ranges from $311,850 to $370,000, plus a competitive equity package.

Our foundation models, the GAIA family of generative world models and the LINGO family of vision-language-action models, let vehicles perceive, reason, and act in the open world.
Mine world-scale fleet data for rare, long-tail, and safety-critical events using active learning, smart sampling, and embedding-based retrieval and dedup.
Design rigorous offline and closed-loop evaluation: metrics and benchmarks that correlate with real on-road behaviour and safety, with deliberate coverage of rare and safety-critical scenarios.
Contribute across the wider foundation-model stack as the work demands: generative world models (GAIA), policy learning, reinforcement learning, and reward modeling.
A Masters with around 6 or more years of relevant experience, or a PhD with 2 or more years, in computer science, machine learning, robotics, mathematics, or a related field (required).

we are hiring at either Applied Scientist or Machine Learning Engineer, at TC3 (Senior) or TC4 (Staff / Tech Lead), calibrated to your background.
We are open on specialisation.
This is a dual-track role: we are hiring at either Applied Scientist or Machine Learning Engineer, at TC3 (Senior) or TC4 (Staff / Tech Lead), calibrated to your background.

This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.