Dolby Careers PhD Research Intern (Summer 2027)

About the Role

The Advanced Technology Group (ATG) is Dolbys research division focused on developing next-generation technologies that shape the future of entertainment and media experiences. ATG researchers work across audio imaging video cloud data AI/ML algorithms signal processing computer vision neuroscience perception science AR/VR distributed systems edge and mobile computing networking HCI and immersive media technologies.

As a Research Intern you will define and lead a novel research project in collaboration with Dolby researchers. You will contribute to innovations that connect rigorous technical research with real-world media experiences with the goal of enhancing how people create deliver and experience entertainment.

With the guidance of Dolbys leading media technology experts you will delve into your own innovative projects across exciting domains which could include but not limited to: Automotive Smart Glasses Live Sports Consumer Devices Human - Machine Interfaces and Media Personalization.

Qualifications

• Currently pursuing a PhD in Computer Science Electrical Engineering Computer Engineering Artificial Intelligence Data Science Neuroscience Music Technology Bioengineering or a related technical field.

• Strong research background demonstrated through publications patents prototypes projects demos or technical reports.

• Experience applying advanced algorithms machine learning data science signal processing computer vision or related methods to real-world problems.

• Proficiency in Python C/C MATLAB or similar programming and research tools.

• Preferred experience with modern AI frameworks such as PyTorch or TensorFlow GPU-accelerated computing multi-GPU clusters or cloud-based training environments.

• Strong analytical problem-solving communication and collaboration skills.

• Curiosity openness to learning from others and interest in bringing new ideas into technical research.

• Passion for advancing technologies that enhance audio video media entertainment and human experiences.

Preferred Research Areas

Experience in one or more of the following areas is highly desirable. Candidates are not expected to have expertise in all areas.

Artificial Intelligence & Machine Learning

• Machine learning deep learning foundation models large language models multimodal AI or generative AI.

• Training fine-tuning evaluation or deployment of AI models for media understanding enhancement personalization content generation or human interaction.

• Self-supervised learning contrastive learning representation learning explainable AI trustworthy AI robustness uncertainty or model evaluation.

• Experience with modern AI frameworks such as PyTorch or TensorFlow GPU-accelerated computing multi-GPU clusters or cloud-based training environments.

• Generative AI: Diffusion models multimodal generation media synthesis controllability representation learning evaluation or content authenticity.

• Agentic AI Systems: Autonomous agents multi-agent systems planning reasoning tool use workflow automation AI systems evaluation or human-in-the-loop AI.

Audio Speech & Media Processing

• Audio signal processing speech processing music information retrieval acoustics spatial audio or audio perception.

• Machine learning applied to audio speech music media understanding source separation synthesis enhancement or rendering problems.

• Real-time audio algorithm implementation playback and recording systems acoustic measurement techniques critical listening music production or game-engine audio rendering.

Computer Vision Imaging & Video Technologies

• Computer vision image processing video understanding computational photography image/video enhancement or semantic visual understanding.

• Visual perception image capture systems sensor technologies such as RGB SPAD or event-based sensors color science rendering compression or computer graphics.

• Object detection recognition tracking segmentation recommendation systems human-machine interfaces or engagement measurement.

• 3D vision volumetric media Gaussian Splatting light fields novel view synthesis spatial computing Unity Unreal Engine AR/VR or interactive media.

Multimodal Experiences & Human-Centered Computing

• Multimodal or cross-modal learning involving audio video text image sensor tabular time-series or physiological data.

• Machine perception and reasoning natural language processing multimedia content analysis generation enhancement understanding retrieval or recommendation.

• Human perception human-computer interaction computational or experimental neuroscience affective computing immersive media personalization or interactive experiences.

Data Platforms Cloud Systems & Networking

• Distributed systems cloud computing large-scale data platforms data and AI training infrastructure or heterogeneous data architectures.

• Big data analytics data quality data profiling data integration data visualization schema matching dataset selection data cleaning or data-driven model training improvements.

• Networking communications systems information theory channel/network coding media distribution decentralized architectures IPFS ICN/NDN or software-defined networking.

• QoS/QoE prediction edge compute resource management traffic classification routing optimization performance modeling utility optimization simulation or proof-of-concept test platforms.

Eligibility

• Must currently be enrolled in a PhD program.

• Must be available to work full-time Monday through Friday for a 12-week internship during Summer 2027.

Application Timing

Applications will be reviewed on a rolling basis. For best consideration candidates are encouraged to apply by the posted priority deadline of October 15.

This opportunity will be based out of our research offices in San Francisco Sunnyvale or Atlanta depending on the role.