Data Engineer, Application Software
The role
As a Data Engineer within the Machine Learning team in Application Software, you’ll contribute to critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.
You’ll design and deliver scalable data pipelines that transform vast amounts of data from diverse internal and external sources into structured, reliable, and model-ready datasets. Your work will span data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll collaborate deeply with Wayve’s Data Corpus teams and ML engineers to build systems that are performant, adaptable, and ready for production.
Key Responsibilities:
Build and improve scalable data pipelines that support model development, evaluation, and production ML workflows for autonomous driving.
Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, reliable, and model-ready formats aligned with standardised taxonomies and coordinate systems.
Develop data quality checks, validation processes, and monitoring to ensure both raw data from our ve
