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Dolby Laboratories

Senior Generative AI Researcher

Dolby Laboratories

Senior Multimodal AI Researcher at Dolby focused on innovative multimodal AI for audio applications. Driving technology advancements and collaborations in audio, speech, and music.

Posted 6/28/2026full-timeAtlanta • 🇺🇸 United StatesSenior💰 $140,700 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deep learning and machine learning, with a strong foundation in audio fundamentals and a proven track record of publishing in top-tier conferences. Capable of mentoring and collaborating with domain experts to drive innovative solutions and influence research direction.

Highest-signal resume keywords
Ph.D. In Computer ScienceDeep Learning ExpertisePython ProgrammingTensorFlow Or PyTorchStrong Publication Record

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Deep LearningMachine LearningAudio FundamentalsInnovative Product DevelopmentResearch Collaboration
Soft Skills
Good CommunicationCollaboration SkillsMentoring
Industry Keywords
Artificial IntelligenceFoundation ModelsNeurIPSICLRICMLACLCVPRICASSPInterspeechMultimedia Applications

Tech Stack

Tools & technologies
PythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • Ph.D. in Computer Science or similar field
  • A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience
  • Technical knowledge of audio fundamentals
  • Deep passion for audio, music, and multimedia applications
  • Deep knowledge on current machine learning literature
  • Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML) or top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP, Interspeech)
  • 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.

Benefits

Comp & perks
  • Excellent compensation and benefits
  • Flex Work approach that's flexible