Jobs / United States / Adobe INC
Sr Manager, Machine Learning Engineering
Adobe INC · 🇺🇸 San Jose
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Adobe INC paid sponsored hires in similar roles170 certified filings for “Machine Learning Engineer” (Data Scientists) in CA: $164k–$215k, median $184k. Most were filed at wage level II (45%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Adobe INC
The US Department of Labor certified 1,036 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 221 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Adobe INC →
About the role
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, 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. #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 all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are emp