Staff Machine Learning Engineer, Data Curation & Dataset Strategy

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, retrieval and data quality. As our data grows from hundreds of petabytes towards exabyte scale, deciding what we keep, and where, is one of the biggest levers on both model quality and cost. This role sits at the centre of that challenge, shaping the data that model engineers train on across the company.

🧠 Your day-to-day

• Build and own the ingestion-time model that scores incoming driving data and routes it to hot, cold, archive or delete
• Work with training teams to define the right data distributions for every model we're building
• Deliver early storage-cost savings through practical heuristics, then develop ML-driven filtering
• Partner with ingestion, annotation, retrieval, data quality, model training, AV/robotics, evaluation and storage teams to set company-wide data policy
• Lead and work hands-on with a small group of software and ML engineers to build data provisioning and data provenance features into Corpus

🧩 What you’ll be working on

• Defining our dataset content strategy: which data and metadata we need, and why, so training teams can select the most valuable data as smoothly