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Dolby is seeking a Senior Multimodal AI Researcher to join their Advanced Technology Group in Atlanta, focusing on developing innovative AI systems for immersive audio-visual experiences. The ideal candidate will have a strong background in machine learning, multimodal AI, and perceptual modeling, with opportunities for research publication and patent contributions.
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Job Summary
Join the Advanced Technology Group (ATG) to invent next-generation technologies that power immersive audio-visual experiences.
Develop next-generation multimodal generative AI systems for immersive audio-visual experiences, working at the intersection of deep learning, perceptual modeling, and media signal processing.
This role spans fundamental research through production deployment, with opportunities to publish, patent, and directly influence shipped technologies.
Matching Summary
Match Score: 75
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Dolby is seeking a Senior Multimodal AI Researcher to join their Advanced Technology Group in Atlanta, focusing on developing innovative AI systems for immersive audio-visual experiences. The ideal candidate will have a strong background in machine learning, multimodal AI, and perceptual modeling, with opportunities for research publication and patent contributions.
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Salary
Base: $140,000-$170,000; Bonus/Equity: plus bonus, some roles may include equity; Benefits: benefits
Skills & Requirements
Must-have
Multimodal generative AI systems
Deep learning and perceptual modeling
Media signal processing
Develop novel AI models
Python and/or C/C++ proficiency
Nice-to-have
Perceptual quality metrics
Real-time media systems
Model compression and optimization
Key Requirements
PhD in Computer Science, Electrical Engineering, or related field or equivalent industry research experience
Research experience in multimodal AI, generative AI, computer vision, audio analysis, or audiovisual analysis
Demonstrated research impact through publications and/or patents in top venues or equivalent industry impact
Hands-on prototyping experience building and evaluating ML systems