Vice President of Data (Autonomous Driving AI)

wayve • United State

Visa Sponsorship Relocation

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AI Summary

Lead Wayve’s data strategy to drive AI learning for autonomous vehicles, owning the end-to-end data lifecycle from acquisition to model performance. Build a multidisciplinary team and define scalable data solutions for global OEMs, sensors, and regulatory environments. Requires deep expertise in AI, large-scale data systems, and technical leadership at the intersection of data, AI, and autonomous driving.

Key Highlights

Own Wayve’s data strategy for autonomous driving AI, spanning data acquisition, curation, enrichment, and model performance

Lead a multidisciplinary team across AI, engineering, validation, product, and commercial teams

Set technical and investment decisions for data-driven AI improvements, balancing quality, speed, cost, and scale

Key Responsibilities

Set the data strategy for Wayve’s AI learning cycle, determining data needs and impact on model performance

Lead the data flywheel, including data discovery, curation, enrichment, training, evaluation, deployment, and measurement

Develop intelligent approaches to identify rare, safety-critical, and valuable data within large datasets using embeddings, semantic search, and model-driven selection

Define data acquisition, enrichment, and sourcing strategies across Wayve’s fleet, OEM programs, partners, and external sources

Establish metrics to measure data value and make trade-offs across quality, accuracy, speed, cost, and scale

Scale data strategy globally to support multiple OEMs, vehicle platforms, sensor configurations, geographies, and regulatory environments

Build and lead a high-performing, multidisciplinary Data organization capable of operating across research, engineering, and commercial programs

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Technical Skills Required

Large-Scale Data Systems Multimodal AI and Computer Vision Data Strategy and AI Learning Loops

Benefits & Perks

Annual salary benchmarked against market

Meaningful equity

Relocation support and visa sponsorship where applicable

Hybrid working model with core hours

Comprehensive benefits including health insurance, dental, enhanced parental leave, retirement support, and wellbeing partnerships

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Nice to Have

Experience in autonomous driving, robotics, or embodied AI

Large-scale video or multimodal foundation model training

Semantic search, embeddings, active learning, auto-labeling, or large-scale real-world data acquisition

Job Description

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.🛠️ At Wayve, we are building AI that learns to drive from experience.We do not hand-code cars to drive. Our models learn from data gathered across the real world, making our ability to identify, understand and learn from the right data fundamental to everything we build.

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