# Applied Scientist / Machine Learning Engineer at Wayve

- Company: Wayve
- Status: Open
- Workplace: Hybrid
- Location: Sunnyvale, California USA · Remote
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $312K–420K
- Posted: 2026-10-05
- Skills: Foundational Data
- Apply: https://jobs.ashbyhq.com/wayve/f3f61d23-6149-4391-8caa-3b92d809338b

## Description

Before the detail, here's the challenge you'd help us solve.



We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.



Here’s what this particular role covers.




🛠️ ABOUT OUR ENGINEERING TEAMS

Wayve’s engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale.

The Enrichment and Curation team transforms fleet-scale driving data into high-quality training datasets, enrichments, and evaluation benchmarks for Wayve’s end-to-end AI Driver and foundation models.




🧠 YOUR DAY-TO-DAY

 - Build scalable methods to discover rare, high-value, and safety-critical scenarios in fleet data.

 - Use embeddings, active learning, similarity search, model-assisted mining, and smart sampling to improve dataset coverage.

 - Design pipelines for automated enrichment, labelling, deduplication, and data-quality monitoring.

 - Run experiments to understand which data mixtures and curation strategies improve model performance.

 - Collaborate with foundation-model, evaluation, simulation, and infrastructure teams to move ideas into production.

 - Build benchmarks and slice analyses that expose model blind spots and guide the next data and modelling iteration.




🧩 WHAT YOU’LL BE WORKING ON

 - Petabyte-scale real-world driving and simulation datasets.

 - Data engines and retrieval systems using Python, SQL, Spark, embeddings,

More Wayve roles: https://deviantjobs.com/companies/wayve