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NEXTMOVEFDE careers · United States

Sr Manager, Machine Learning Engineering

AI summary of the role

Lead and grow a distributed team focused on training data for Adobe Firefly, a managed generative-AI service for enterprises.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • 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.

What you’ll bring

  • 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.

Technologies

Firefly · GANs · diffusion · ETL/ELT · Spark · Databricks · Snowflake · AWS · Azure · GCP · DVC · MLOps

About Adobe

Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

The Opportunity Adobe Firefly Foundry is a managed generative-AI service purpose-built for enterprises that need to scale content creation without compromising brand safety or workflow efficiency. By letting customers train private Firefly models on their own intellectual property—under strict data isolation and copyright indemnification—and deploy those models directly into Adobe Creative Cloud, Experience Cloud, and proprietary platforms via Firefly Services APIs, Firefly Foundry closes the gap left by consumer‑grade GenAI tools and empowers brands to deliver ten‑times the creative output at professional quality. As a Manager for Applied Research at Adobe, you will be the technical and strategic steward of this platform, translating state‑of‑the‑art research into secure, production‑ready capabilities, championing them in customer and industry settings, and building the world‑class
More from the job description

The Opportunity Adobe Firefly Foundry is a managed generative-AI service purpose-built for enterprises that need to scale content creation without compromising brand safety or workflow efficiency. By letting customers train private Firefly models on their own intellectual property—under strict data isolation and copyright indemnification—and deploy those models directly into Adobe Creative Cloud, Experience Cloud, and proprietary platforms via Firefly Services APIs, Firefly Foundry closes the gap left by consumer‑grade GenAI tools and empowers brands to deliver ten‑times the creative output at professional quality. As a Manager for Applied Research at Adobe, you will be the technical and strategic steward of this platform, translating state‑of‑the‑art research into secure, production‑ready capabilities, championing them in customer and industry settings, and building the world‑class team that will turn vision into reality. 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, b [... source excerpt omitted ...] ights 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, [... source excerpt omitted ...] robust data solutions. #FireflyGenAI About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where

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