Applied Scientist / Machine Learning Engineer

Wayve • Sunnyvale, CA

3d • $311,850 - $419,760 • Hybrid

About The Position

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.

Requirements

• Strong machine-learning and software-engineering fundamentals and can take applied research into production.
• Proficient in Python and a modern deep-learning framework and comfortable with SQL or large-scale data tools.
• Experience with data curation, foundation models, large-scale data wrangling, computer vision, or model evaluation.
• Can reason about sampling, class imbalance, label quality, dataset coverage, and experimental design.
• Enjoy ambiguous, cross-functional problems and communicate technical trade-offs clearly.

Nice To Haves

• Experience with autonomous driving, robotics, VLMs, active learning, similarity search, Spark, or distributed training is valuable.

Responsibilities

• 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.

Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, retirement, and wellbeing benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed