Research Internship

Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs. It has multiple competencies that innovate technologies in audio, video, AR/VR, gaming, music, and movies. Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research. ATG Bangalore is a fast-growing R&D operation focusing on the next generation of sound, sight, and multi-modal experiences using perceptual sciences, foundational systems, and AI. In this internship you will spend three months with our researchers to investigate a cutting-edge topic. We will work with you to define the problem statement and research plan that leverages your competencies and results in top-tier novel research that is fun and exciting.

We are accepting applications for our Spring 2026 internship cohort (Jan-Mar 2026) for research in following areas:

• AI & Machine Learning for Media: AI systems for processing and understanding audio, video, text, and multimedia content.
• Real-Time AI on Edge Devices: AI systems that adapt in real time and respond to emotions, designed for use on low-power edge devices.
• Immersive AI Content Creation: AI tools for creating interactive, multimodal (audio, video, text) and immersive experiences.
• Human Sensing & Multimodal Perception: AI that interprets human behavior and senses (e.g., gestures, facial expressions, bio-signals) for enhanced user experiences.
• AI in Computer Vision: AI techniques for video and image capture, compression, enhancement, and scene understanding.
  
  

• Work closely with Dolby research teams to better understand industry-based research.
• Hone your skills in AI/Machine learning or the appropriate creative tools.
• Drive cutting-edge research resulting in top-tier publications.
  
  

• PhD candidates in Computer Science, Electrical Engineering, Electrical Communications Engineering, and relevant fields.
• Top tier publications is a big plus (e.g. CVPR, ICML, ICCV, ECCV, ICIP, WACV, ACL, ACM, AAAI, ICASSP, T-Pami, IJCNN, JMLR, BMVC, EMVC, INTERSPEECH, NeurIPS, ICLR, ICML, CHI, SIGGRAPH etc)