Applied Scientist / Machine Learning Engineer
$312k - $420k • Sunnyvale, California USA • Full-time
Posted 25d ago
Job Location
Sunnyvale, California USA
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Enrichment and Curation team, which transforms fleet-scale driving data into high-quality training datasets, enrichments, and evaluation benchmarks for the company's end-to-end AI Driver and foundation models. You will be instrumental in developing the embodied intelligence that moves real vehicles safely and the ecosystem that future machines will run on.
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.
Requirements
- Strong machine-learning and software-engineering fundamentals with the ability to take applied research into production.
- Proficiency in Python and a modern deep-learning framework.
- Comfort with SQL or large-scale data tools.
- Experience with data curation, foundation models, large-scale data wrangling, computer vision, or model evaluation.
- Ability to reason about sampling, class imbalance, label quality, dataset coverage, and experimental design.
- Enjoyment of ambiguous, cross-functional problems and clear communication of technical trade-offs.
- Experience with autonomous driving, robotics, VLMs, active learning, similarity search, Spark, or distributed training is valuable.
Benefits
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support
- Visa sponsorship
- Hybrid working
- Access to vehicle workshops and labs
- Learning and development support
- Comprehensive health, family, retirement, and wellbeing benefits