Corpus
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 Datasets Team
Wayve’s Datasets team own the driving data that our AI Driver learns from, covering ingestion, annotation (automatic and manual), retrieval and data quality. Our data is growing from hundreds of petabytes towards exabyte scale, and not all of it is equally valuable for training. This team decides what we keep and where, and builds the systems that make those decisions work in practice.
🧠 Your day-to-day
- Implement and iterate filtering, retention and offload policies across hot, cold, archive and delete storage
- Build the data movement and pipelines that our pre-ingestion selection model depends on
- Decide where and how selection models run, balancing compute cost against data value
- Build early, low-compute decision points that avoid expensive standardisation and enrichment of low-value data
- Work with the storage and data infra teams, and monitor data quality to make sure our datasets reflect what model training needs
🧩 What you’ll be working on
- Turning our dataset strategy into working systems: moving, filtering, retaining and offloading driving data at hundreds of petabytes
- The engineering behind our pre-ingestion selection mode(s)l: how data moves, where the model runs and how offl