Wayve
Applied Scientist / Machine Learning Engineer
Sunnyvale, California USA · Full-time
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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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:
Responsibilities
- 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.
Requirements
- Experience with large-scale data and/or large neural networks, and the judgment to know which experiments and which data actually matter.
Compensation
- The reasonably estimated salary for this role ranges from $311,850 to $370,000, plus a competitive equity package.
Benefits
- 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).
- Fluency in Python and a modern deep-learning framework (PyTorch or similar), and comfort working with large, messy, real-world datasets.
- Foundation models, VLMs, world models, diffusion or autoregressive generative models, or reinforcement learning and reward modeling.
- 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.
Company info
- At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
- 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.
- We are open on specialisation.
This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.