Manager, Applied Research

Adobe Systems
San Jose, Seattle, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Leadership","Cross-functional collaboration","Communication","Team-building","Problem-solving"]

Lead and grow a distributed team focused on training data for generative AI, shaping large-scale data ecosystems for Custom Foundation Models. Define data strategies for acquiring, processing, curating, annotating, versioning, and ensuring quality of datasets; build scalable pipelines; collaborate with researchers, ML engineers, and product managers; and champion data diversity, bias mitigation, and ethical AI practices to enable cutting-edge AI research and product development.

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Adobe Systems
Adobe Systems
2 months ago

Manager, Applied Research

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead and grow a distributed team focused on training data for generative AI, shaping large-scale data ecosystems for Custom Foundation Models. Define data strategies for acquiring, processing, curating, annotating, versioning, and ensuring quality of datasets; build scalable pipelines; collaborate with researchers, ML engineers, and product managers; and champion data diversity, bias mitigation, and ethical AI practices to enable cutting-edge AI research and product development.
Location: San Jose, Seattle, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

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

Key Requirements

  • •Master’s or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related field — or equivalent experience.
  • •5+ years of engineering leadership experience.
  • •Deep understanding of ML data lifecycles, particularly for generative models.
  • •Experience with synthetic data creation and curation.
  • •Strong grasp of data privacy, security, and ethical AI principles; excellent leadership and cross-functional collaboration.
Experience:5+ yearsAIMachine learningGenerative AIData science
Education:Master's
Skills:LeadershipCross-functional collaborationCommunicationTeam-buildingProblem-solving
Tech Stack:PythonSQLETLData pipelinesMachine learning

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
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