Dolby Careers Senior Manager, Foundational AI Research

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, youll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. Were big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, we are changing the way the world experiences sight and sound. We enable people to experience music, movies, videos, games, and immersive content in their intended grandeur, making life and work more meaningful, expressive, and engaging. We provide technology to the worlds content creators, owners, and distributors, as well as manufacturers of TVs, mobile devices, PCs, and social and media platforms, so they can truly delight their customers. Dolby is behind many of the sound and imaging experiences people enjoy in movie theaters, living rooms, mobile devices, and online services around the world. What You Will Do We are building Foundational AI capabilities that advance how people create, understand, enhance, deliver, and experience media. This work spans foundation models, multimodal AI, generative media, content intelligence, media enhancement, personalization, and applied AI systems that can be reused and adapted across Dolby initiatives. As Senior Manager, Foundational AI, you will lead the team responsible for defining and delivering Dolbys Foundational AI strategy across audio, video, imaging, and multimodal experiences. You will set the technical roadmap for reusable AI capabilities, model assets, training and adaptation methods, evaluation frameworks, and reference implementations that help Dolby teams move from research exploration to practical adoption. This role requires strong technical leadership in modern AI/ML systems, deep judgment in model strategy, evaluation methodology, and applied AI development, and the ability to connect research advances with practical product and business opportunities. You will work closely with research, product, engineering, platform, legal, privacy, data, and business teams to ensure Dolbys Foundational AI investments are differentiated, responsibly developed, technically rigorous, and broadly adoptable across the company. A major focus of this role is building reusable AI assets and capabilities, including pretrained models, fine-tuning and adaptation recipes, evaluation methodologies, training workflows, model quality benchmarks, and reference implementations. These capabilities will help Dolby teams develop new experiences more efficiently across media understanding, media enhancement, AI-assisted creation, immersive content, personalization, and next-generation entertainment workflows. Your work will help researchers and engineers move from early exploration to validated, reproducible, and product-relevant AI systems, with clear quality standards, evaluation discipline, responsible AI practices, and practical adoption paths built in. Key Responsibilities Define and drive a multi-year roadmap for Dolbys Foundational AI strategy across audio, video, imaging, multimodal AI, generative media, content understanding, media enhancement, personalization, and immersive experiences. Lead the development of reusable Foundational AI capabilities, including pretrained models, adaptation and fine-tuning recipes, training workflows, evaluation benchmarks, and reference implementations that can be adopted across multiple Dolby teams. Set technical direction for model architecture, representation learning, self-supervised learning, generative modeling, multimodal learning, model adaptation, optimization, and evaluation, with attention to quality, robustness, efficiency, scalability, and product relevance. Establish model development and evaluation strategies for Foundational AI, including training and validation requirements, data quality expectations, benchmark design, objective metrics, perceptual evaluation, human studies, robustness testing, and product-specific quality gates. Partner with product, business group, research, engineering, data, and platform teams to identify high-impact use cases and translate Foundational AI capabilities into practical applications across Dolby products, services, and partner-facing experiences. Drive research-to-product transition by moving promising prototypes into validated, reproducible, scalable, an .