Manager, Applied Science for Data

Adobe Adobe · Enterprise · San Jose, CA +2

Manager for Applied Science leading a team focused on the training data ecosystem for generative AI models (imaging, video). Responsibilities include strategy, pipelines, curation, annotation, quality, and collaboration with researchers and ML engineers. Requires experience in ML data lifecycles, generative AI data science, synthetic data, and large-scale multimodal datasets.

What you'd actually do

  1. Lead and grow a distributed team focused on training data for generative AI.
  2. Define and execute the strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale datasets for Custom Foundation Models.
  3. Build and maintain scalable, efficient data pipelines across the training data lifecycle.
  4. Collaborate with researchers, ML engineers, and product managers to align on data needs for foundation models.
  5. Champion data diversity, bias mitigation, and ethical AI practices.

Skills

Required

  • Master’s or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related field — or equivalent experience
  • 5+ years of experience in engineering leadership
  • Deep understanding of ML data lifecycles, particularly for generative models
  • Experience in the science and algorithms underpinning data for generative AI
  • Experience with synthetic data creation and curation
  • Strong grasp of data privacy, security, and ethical AI principles
  • Excellent leadership and cross-functional collaboration skills
  • Experience working with large-scale image and video datasets

What the JD emphasized

  • 5+ years of experience in engineering leadership
  • Experience working with large-scale image and video datasets

Other signals

  • training data ecosystem
  • generative AI models
  • large-scale datasets
  • foundation models