# Vice President, AI Data

**Company**: Wayve
**Location**: London
**Work arrangement**: hybrid
**Experience**: executive
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/wayve/df357b12-69f8-4ee9-a029-bc8494e4c69f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2e5641e4-a77

## Description

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.

As VP of Data, you will have end-to-end ownership of how Wayve uses data to improve our AI. You will set the strategy across the complete AI learning cycle, determining what data we need and how it should drive model performance, from foundation model training through specialised driving capabilities and production programmes.

Your responsibilities include:

- Owning Wayve’s data strategy: Set the strategy across the complete AI learning cycle and determine where data can have the greatest impact on model capability and performance.

- Building the data flywheel: Own the learning loop from real-world signals and model behaviour through data discovery, curation and enrichment into training, evaluation, deployment and measurement.

- Finding the data that matters: Develop intelligent approaches to discovering rare, surprising and safety-critical scenarios within extremely large datasets, using techniques such as embeddings, semantic search, learned representations and model-driven data selection.

- Leading data acquisition and enrichment: Define how Wayve collects, buys, generates and enriches data across our own fleet, OEM programmes, partners and external sources, balancing coverage, quality, speed and economics.

- Connecting data investment to model performance: Establish how we measure the value of data and make rigorous trade-offs across quality, accuracy, speed, cost and scale, ensuring investment is focused where it creates the greatest impact.

- Scaling our data strategy globally: Build an approach that supports multiple OEMs, vehicle platforms, sensor configurations, geographies and regulatory environments while maintaining a scalable global architecture.

- Building and leading the organisation: Develop a high-performing, multidisciplinary Data organisation capable of operating across Wayve’s research, engineering and commercial programmes.

You should apply if:

- You are a senior engineering or technical leader with significant experience building and leading high-performing technical organisations.

- You have operated at the intersection of AI, data and large-scale model development, with data capabilities that directly influence model training, evaluation and performance.

- You have deep technical expertise in areas such as computer vision, video, multimodal AI, perception or related large-scale ML problems.

- You have strong intuition for what makes data valuable and experience with data discovery, selection, curation and enrichment at scale.

We offer salaries benchmarked against the market annually, meaningful equity, relocation support and visa sponsorship where applicable, hybrid working, core hours and the opportunity to work closely with our vehicles, workshops and labs, learning and development support, comprehensive location-dependent benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension support, access to therapists, wellbeing partnerships, team socials and more.

## Skills

### Required
- AI
- data strategy
- machine learning
- computer vision
- multimodal AI
- perception

### Nice to have
- autonomous driving
- robotics
- embodied AI
- large-scale video or multimodal foundation model training
- semantic search
- embeddings
- active learning
- auto-labelling

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/wayve/df357b12-69f8-4ee9-a029-bc8494e4c69f?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
