Manager, Applied Science for Data
Core
Lead and evolve the training data ecosystem powering generative AI models for content synthesis and editing across imaging and video modalities.
Role type
Manager, Applied Science (Data)
Builds
Scalable data pipelines and training data strategies for Custom Foundation Models
Domain
Generative AI, Creative Tools, Data Engineering
Deliverable
production ML models
Required skills
Engineering leadership, ML data lifecycle management, generative AI algorithms, synthetic data creation, data privacy and ethics, large-scale image/video dataset handling
Preferred skills
Cross-functional collaboration, technical leadership, innovation culture fostering
Technologies
Custom Foundation Models, large-scale image and video datasets
Responsibilities
Lead a distributed team focused on training data; Define and execute strategy for acquiring, processing, curating, annotating, and versioning large-scale datasets; Build and maintain scalable data pipelines; Collaborate with researchers and product managers on data needs; Champion data diversity and ethical AI practices; Evaluate tools to enhance infrastructure and workflows
Seniority
Manager, hands-on technical leadership
