Senior Generative AI Researcher

Atlanta Area full-time $140,700-$170,000,which can vary if outside this location,plus bonus, benefits, and some roles may also include equity. 2026-06-30

Machine Learning

Natural Language Processing

LLMs

Research

About Dolby Laboratories, Inc.

Dolby Laboratories, Inc. is a global leader in entertainment innovation, revolutionizing how people create, deliver, and enjoy entertainment. As a member of the Dolby team, you'll contribute to cutting-edge advancements in audio and multimedia technology. The Advanced Technology Group (ATG) is the research heart of Dolby, focused on driving future growth through insights and innovation in AI/ML, algorithms, digital signal processing, and more.

About the Position

Introduction

Join Dolby Laboratories, a leader in entertainment innovation, and contribute to designing the future of audio and multimedia experiences. The Advanced Technology Group (ATG), Dolby's research division, is seeking a talented Senior Multimodal AI Researcher specializing in Audio to drive innovation in multimodal AI, representations, and generative modeling for audio, speech, and music.

Responsibilities

Partner closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
Use deep learning to create new solutions (including foundation models) and enhance existing applications.
Push the state-of-the-art and develop intellectual property.
Transfer technology to product groups.
Establish research collaborations with external university partners.
Mentor interns on novel research problems.
Publish papers in top-tier conferences and journals.
Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.

Requirements

Ph.D. in Computer Science or a similar field.
A strong background in deep learning, both in terms of conceptual understanding and practical experience.
Technical knowledge of audio fundamentals.
Deep passion for audio, music, and multimedia applications.
Deep knowledge of current machine learning literature.
Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch).
Ability to envision new technologies and turn them into innovative products.
Good communication and collaboration skills.

Nice to Have

Strong publication record, with publications in major machine learning conferences (e.g., NeurIPS, ICLR, ICML) or top domain-specific conferences (e.g., ACL, CVPR, ICASSP, Interspeech).
Experience with generative modeling for audio applications (diffusion models, autoregressive models, masked generative transformers).
Experience with multimodal semantic understanding and multimodal reasoning.
Experience with multimodal representations (audio-video, audio-text, audio-video-text).
Experience with multimodal AI architectures, with a focus on generating audio, music, and speech (text-to-audio, video-to-audio, image-to-audio).
Experience with self and semi-supervised learning.
Experience with AI-driven audio enhancement, processing, and generation (for speech and music), such as speech enhancement and analysis, source separation, text-to-speech, text-to-music, music information retrieval, audio classification.
Experience with LLMs for audio applications.
Experience with language models, question answering, vision-language models, and captioning.

Benefits

Collegial culture.
Challenging projects.
Excellent compensation and benefits.
Flex Work approach that is flexible to support where, when, and how you do your best work.