Jobs / United States / Adobe INC

Research Scientist II

Adobe INC · 🇺🇸 San Francisco

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 roles8 certified filings for “Research Scientist/Engineer” (Computer and Information Research Scientists) in WA: $178k–$267k, median $214k. Most were filed at wage level II (71%) — 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).

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1,036 H-1B filings certified since Oct 2025

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 The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco. This role is ideal for researchers who stay deeply up to date with the latest AI model architectures and innovations and are motivated to push them forward in real-world creative systems. You will work alongside a world-class team of scientists and engineers to invent, evaluate, and scale next-generation audio and speech technologies—translating state-of-the-art research into products used by millions. Our lab values independent research leadership, technical excellence, and impact. We actively support publication at top venues, collaboration with academia, and rapid iteration from research insight to deployed technology. Responsibilities • Lead and execute independent research in speech generative AI, audio modeling, and multimodal learning (text and visuals), with a strong focus on modern large-scale model architectures. • Design, analyze, and advance state-of-the-art AI models and training procedures, including foundation models, representation learning, and generative systems for speech and audio. • Maintain strong technical currency with the latest developments in model architectures, optimization techniques, data scaling, and training strategies, and apply them creatively to audio and multimodal problems. • Demonstrate deep understanding of both audio signal fundamentals and machine learning, enabling principled model design and insightful experimentation. • Publish research at leading conferences and journals and pursue patent protection for impactful innovations. • Build high-quality research prototypes that demonstrate technical rigor, scalability, and clear paths to product integration. • Collaborate closely with engineering and product teams to ensure research outcomes translate into robust, real-world impact. • Provide technical mentorship and help set a high bar for research quality and engineering excellence. Requirements • Ph.D (preferred). or Master’s degree in Computer Science, Electrical Engineering, or a related field, with a strong research focus in audio, speech, and machine learning. • 3+ years of research experience in industry strongly preferred. • Proven track record of independent research contributions, such as first-author publications or equivalent leadership in research projects. • Deep expertise in audio and machine learning, including strong intuition for: • Speech and audio generation • Audio representations and modeling • Training large-scale neural models • Hands-on experience with modern AI architectures and training pipelines, and a demonstrated ability to quickly adopt and extend new techniques. • Strong Python and deep learning development skills, with attention to performance, reproducibility, and experimental rigor. • Excellent communication skills and the ability to clearly articulate complex technical ideas. • A clear appetite for real-world impact, coupled with a commitment to technical excellence and high research standards. 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 e

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Source: Employer career site (Workday) First seen: 2026-09-08 Last confirmed: 2026-10-02 How our data works → Report this job

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