Senior Audio & Speech AI Scientist

Adobe Inc.

San Francisco (CA)

On-site

USD 187,000 - 271,000

Full time

5 days ago
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Job summary

Adobe Speech AI Lab in San Francisco seeks a Senior Audio Research Scientist to advance our speech generative AI and multimodal research efforts. You will lead novel audio models, publish in top venues, and translate insights into products used by millions.

You will collaborate with engineers and product teams, mentor researchers, and drive the end-to-end research pipeline from concept to deployment, ensuring technical excellence and real-world impact.

Qualifications

  • Ph.D. preferred or Master’s in CS/EE with focus on audio, speech, and ML.
  • 3+ years of industry research experience preferred.
  • Proven independent research contributions (first-author papers, etc.).
  • Deep expertise in audio and ML: speech generation, representations, large models.
  • Hands-on with modern AI architectures and training pipelines.
  • Strong Python and DL development, with reproducibility.
  • Excellent communication and impact-focused mindset.

Responsibilities

  • Lead and execute independent research in speech generative AI and multimodal learning.
  • Design and evaluate state-of-the-art audio models and training procedures.
  • Stay current with model architectures and scaling techniques.
  • Publish at top venues and pursue patent protection.
  • Build prototypes and collaborate with engineering and product teams.
  • Provide technical mentorship and raise research quality.

Skills

Audio ML
Speech generation
Large-scale training
Python
Deep learning
Research leadership
Communication

Education

PhD preferred
Master's in CS/EE

Tools

PyTorch
TensorFlow

Job description

Adobe Speech AI Lab in San Francisco seeks a Senior Audio Research Scientist to advance our speech generative AI and multimodal research efforts. You will lead novel audio models, publish in top venues, and translate insights into products used by millions.

You will collaborate with engineers and product teams, mentor researchers, and drive the end-to-end research pipeline from concept to deployment, ensuring technical excellence and real-world impact.

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