Vice President of AI Data

Join Wayve, a pioneering company in autonomous driving technology. As the Vice President of AI Data, you will lead the data strategy that drives our AI advancements. You will have end-to-end ownership of data acquisition, understanding, enrichment, and its impact on model performance. This senior engineering leadership role requires a strong technical background, experience in data-driven decision-making, and the ability to influence across technical and business stakeholders.

• Définir et mettre en œuvre la stratégie de données de l'entreprise, en déterminant les types de données nécessaires et comment elles doivent influencer la performance des modèles.
• Diriger l'acquisition et l'enrichissement des données, en définissant comment l'entreprise collecte, achète, génère et enrichit les données à partir de diverses sources.
• Établir des méthodes intelligentes pour découvrir des scénarios rares, surprenants et critiques pour la sécurité au sein de grands ensembles de données.

• You can hold the full system in your head while still going deep on the details that matter
• You can set direction in ambiguity and make high-quality decisions without perfect information. You are equally comfortable going deep into the characteristics and value of a dataset, challenging how a team measures model improvement, making significant investment decisions, or defining how an organisation should operate
• You have strong technical judgement, but think about data through the impact it has on the intelligence and performance of the system, rather than simply the infrastructure required to store and process it
• You are a senior technical leader who has operated at the intersection of AI, data and large-scale model development
• Strong technical and commercial judgement, including making trade-offs across quality, speed, cost, scale and build-versus-partner decisions
• Deep technical expertise in computer vision, video, multimodal AI or related perception problems
• Significant engineering leadership experience, with a track record of building and leading high-performing technical organisations
• Experience leading large-scale data capabilities that directly influence model training, evaluation and performance
• Strong intuition for what makes data valuable, with experience in data discovery, selection, curation and enrichment at scale
• Ability to move between strategy and technical detail, set direction in ambiguity, and influence effectively across senior technical and business stakeholders
• Autonomous driving, robotics or embodied AI
• Semantic search, embeddings, active learning, auto-labelling or other approaches to intelligent data selection and enrichment
• Large-scale real-world data acquisition across fleets, customers, partners or multiple geographies
• Large-scale video, multimodal or foundation model training