Senior Research Scientist

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.

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