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Sr Manager, Machine Learning EngineeringAdobeSan Jose, Arizona, United States
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Sr Manager, Machine Learning Engineering

Adobe
  • US
    San Jose, Arizona, United States
  • US
    San Jose, Arizona, United States

About

Overview Adobe Firefly Foundry is a managed generative‑AI service that allows enterprises to train private Firefly models on their own intellectual property. As a Manager for Applied Research, you will translate cutting‑edge research into production‑ready capabilities and build a world‑class team. Responsibilities Lead and grow a distributed team focused on training data for Generative AI. Define and execute strategy for acquiring, processing, curating, annotating, versioning, and ensuring quality of large‑scale datasets for Adobe Firefly. Build and maintain scalable, efficient data pipelines across the training data lifecycle. Collaborate with researchers, ML engineers, and PMs to align on data needs for new models. Champion data diversity, bias mitigation, and ethical AI practices. Evaluate and integrate tools and methodologies to enhance infrastructure and workflows. Influence model development through insights on data quality and availability. Provide technical leadership and foster a culture of innovation. Partner across teams to align data priorities and share best practices. Qualifications Master’s/Ph.D. in CS, Data Science, Engineering, AI/ML, or related field—or equivalent experience. 5+ years in engineering leadership, managing data infrastructure or ML data ops teams. Deep understanding of ML data lifecycles, especially for generative models (GANs, diffusion). 7+ years building and optimizing large‑scale ETL/ELT pipelines and data warehousing. Expertise in data quality, governance, versioning, and annotation platforms. Proficiency with cloud data tech (AWS, Azure, GCP, Spark, Databricks, Snowflake). Strong grasp of data privacy, security, and ethical AI principles. Excellent leadership and cross‑functional collaboration skills. Experience with large‑scale image/video datasets. Preferred: Familiarity with MLOps tools (e.g., DVC), annotation platforms, and compliance standards. Experience in computer vision, multimedia, or creative content data ecosystems. Contributions to open‑source tools, publications, or patents in data management. Proven success supporting generative model training with robust data solutions. Compensation U.S. pay range: $178,900 – $351,225 annually. In California: $242,600 – $351,225. Pay varies by location and experience. Equal Employment Opportunity Adobe is an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
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  • San Jose, Arizona, United States

Languages

  • English
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