Base: atlanta area range specified; bonus/equity: ...
On-site
Ph.d. in computer science or similar field
Strong background in deep learning
Technical knowledge of audio fundamentals
Dolby Laboratories is seeking a Senior Multimodal AI Researcher specializing in audio to drive innovation in multimodal AI applications for entertainment. The ideal candidate will possess a strong background in deep learning, particularly in audio-related technologies, and will be involved in creating and implementing advanced AI solutions
Job Summary
Join the Advanced Technology Group to drive innovation in multimodal AI for audio applications, including generative modeling for speech and music.
The role involves creating new solutions using deep learning, pushing the state-of-the-art, and developing intellectual property for Dolby's core business.
Dolby offers a flexible work approach, excellent compensation, and a collegial culture where researchers can make a real difference.
Matching Summary
Match Score: 85
Dolby Laboratories is seeking a Senior Multimodal AI Researcher specializing in audio to drive innovation in multimodal AI applications for entertainment. The ideal candidate will possess a strong background in deep learning, particularly in audio-related technologies, and will be involved in creating and implementing advanced AI solutions.
Salary
Base: Atlanta Area range specified; Bonus/Equity: Not specified; Benefits: Excellent compensation and benefits package
Skills & Requirements
Must-have
Ph.D. in Computer Science or similar field
Strong background in deep learning
Technical knowledge of audio fundamentals
Python and PyTorch or TensorFlow
Experience with generative modeling
Nice-to-have
Publications in top-tier ML conferences
Experience with LLMs for audio applications
Passion for audio, music, and multimedia
Collaboration with external university partners
Mentoring interns on research problems
Key Requirements
Ph.D. in Computer Science
Strong publication record in major conferences
Highly skilled in Python and deep learning frameworks