Applied Scientist / Machine Learning Engineer

Job summary

Responsibilities

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

• 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.

Tech stack

• Python
• SQL
• Spark
• PyTorch