Description
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future.
You will be part of Team Wayve's datasets team, owning the driving data that our AI Driver learns from, covering ingestion, annotation, retrieval and data quality.
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
You will 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 as possible
- Steering data selection by what our model engineers need right now
- Delivering large, measurable storage-cost savings as ingestion scales across our internal fleet and partner and OEM data
- Evolving from practical heuristics to ML-driven filtering, and influencing what gets filtered at the vehicle and edge
- Working as a pair with our Corpus Implementation Engineer to turn strategy into production systems
You should apply if:
- You have strong autonomous-vehicle or robotics experience, working with large-scale driving, sensor or comparable data
- You're a principal, hands-on ML engineer who has built models that score, select or filter data
- You've operated at petabyte scale and are comfortable with the engineering that comes with it
- You're strong in Python and Spark, with large-scale cloud data experience
- You have strong quantitative intuition and use it to make practical, measurable decisions
- You're pragmatic and high-ownership, and can set direction across several teams without direct authority
About Wayve: Wayve is building the leading AI platform for autonomous driving.
Benefits:
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more