Research Scientist II

Adobe

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Work type
On-site
Location
San Francisco, CA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $168k
$97k $222k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$209,828.

Based on 240 similar postings.

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About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Research Scientist II

Research Scientist II joins the Speech AI Lab to advance speech generative AI and multimodal research. This role involves leading independent research in audio modeling and multimodal learning, specifically focusing on large-scale model architectures. You will design, analyze, and advance state-of-the-art AI models, including foundation models and generative systems for speech and audio. Daily tasks include building high-quality research prototypes, maintaining technical currency in optimization techniques and data scaling, and collaborating with engineering teams to translate research into robust products. The role requires deep expertise in audio signal fundamentals, machine learning, and training large-scale neural models. Key technical skills include Python and deep learning development. You will solve complex problems in speech generation and audio representation learning while publishing research at leading conferences and journals.

What does a Research Scientist earn?

Median $216250 from 45 postings across 16 companies.

See salary data

What you'll do

  • Lead and execute independent research in speech generative AI, audio modeling, and multimodal learning.
  • Design and advance state-of-the-art AI models for foundation learning and generative speech systems.
  • Apply modern optimization techniques and data scaling strategies to solve complex audio problems.
  • Publish original research at leading conferences and journals and pursue patent protection for innovations.
  • Build high-quality research prototypes that demonstrate technical rigor and clear paths to product integration.
  • Collaborate with engineering and product teams to translate research outcomes into robust, real-world products.
  • Provide technical mentorship to help set high standards for research quality and engineering excellence.

What we're looking for

  • Master’s degree in Computer Science, Electrical Engineering, or a related field with a research focus (Ph.D. preferred).
  • 3+ years of research experience in industry (strongly preferred).
  • Proven track record of independent research contributions, such as first-author publications or equivalent leadership.
  • Deep expertise in audio and machine learning, including speech generation, audio representations, and large-scale neural models.
  • Hands-on experience with modern AI architectures, training pipelines, and data scaling strategies.
  • Strong Python and deep learning development skills with a focus on performance and reproducibility.
  • Excellent communication skills to clearly articulate complex technical ideas.
  • Ability to build high-quality research prototypes and provide technical mentorship.

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