Vice President, AI Data
Core
Lead the data strategy and organization to improve autonomous driving AI models by determining data needs, acquisition, curation, and enrichment from real-world driving scenarios.
Role type
VP of Data (Engineering Leadership)
Builds
Data flywheel and learning loops for embodied AI and autonomous driving systems
Domain
Autonomous driving, Embodied AI, Computer Vision
Deliverable
production ML models
Required skills
Engineering leadership, Computer vision, Large-scale data strategy, Data discovery and curation, Model performance optimization, Strategic trade-offs
Preferred skills
Autonomous driving, Robotics, Foundation models, Semantic search, Active learning, Global data acquisition
Responsibilities
Own the complete AI learning cycle strategy, Build the data flywheel from real-world signals to model deployment, Develop intelligent approaches for finding rare safety-critical scenarios, Lead data acquisition and enrichment across fleets and partners, Connect data investment to measurable model performance, Scale data strategy globally across OEMs and regions, Build and lead a multidisciplinary Data organization
Seniority
VP, Strategic Leadership & Organization Building
