Join Dolby U: PhD Multimodal AI Intern Opportunity

Step into the future of entertainment innovation with Dolby U's transformative internship program. Dolby Laboratories offers a unique opportunity to work on impactful, project-based assignments in a collaborative, creative environment where you'll be side-by-side with industry leaders. Embrace your curiosity and contribute to real-world solutions that revolutionize global communication and entertainment creation, delivery, and enjoyment.

Why Choose Dolby?

At Dolby, interns benefit from a collegial culture, challenging projects, and excellent compensation and benefits. Enjoy our Flex Work approach offering true flexibility in where, when, and how you perform your best work. We welcome students eager to gain invaluable expertise through meaningful, personal contributions as we continue designing a future where technology and entertainment intersect.

About the Advanced Technology Group (ATG)

The Advanced Technology Group (ATG) is Dolby's research division, focused on pioneering insights and innovative technological solutions that drive our growth. ATG researchers expertise ranges across various domains including AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

Responsibilities

As a Multimodal Processing Team member, you will develop novel AI algorithms utilizing audio, video, text, and other input modalities. Your work will enhance audiovisual experiences and intelligently analyze or process content to revolutionize entertainment technology.

What You’ll Experience

• First-hand exposure to cutting-edge Dolby technology
• A diverse, open, and welcoming culture
• Practical experience on real-world projects
• Impactful work used by millions every day
• Potential to publish and/or patent your innovations

Candidate Profile

We seek candidates with solid technical skills, problem-solving and analytical abilities, strong communication and collaboration skills, and a passion for audio, video, movies, music, or game technology.

Areas of Focus

• Multimodal machine learning and deep learning
• Adversarial machine learning
• Multimodal LLMs
• Audiovisual content analysis and enhancement
• Multimodal representation learning
• Generative AI for audio and video

Qualifications

• Currently pursuing a Master's or Ph.D. in Artificial Intelligence, Electrical Engineering, Computer Science, or related field
• Experience developing and training deep learning architectures
• Experience with deep learning architectures for audio and/or video applications
• Expertise in representation learning problems
• Knowledge of adversarial machine learning (a plus)
• First-author publications at peer-reviewed AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, InterSpeech, ICASSP, etc.)
• Proficiency in Python and frameworks like PyTorch or TensorFlow
• Adept critical thinking skills and quick prototyping ability
• Excellent communication skills and a team-oriented work ethic

Eligibility

Qualified candidates should be currently pursuing or recent graduates within six months of completing a Ph.D. in Computer Science, Electrical Engineering, or related field. Availability to work full-time, Monday to Friday, for 3 months between September 2024 – December 2024 is required. The internship start date is Monday, September 23, 2024.

Compensation

The San Francisco/Bay Area base hourly range for this internship position is $44-57/hr and may vary based on location. Hourly ranges are determined by role, level, and location, with individual pay based on work location, job-related skills, experience, and relevant education or training. Your recruiter will provide specific hourly range, perks, and benefits details during the hiring process.

Dolby will consider qualified applicants with criminal histories consistent with San Francisco Police Code, Article 49, and Administrative Code, Article 12.

Equal Employment Opportunity

Dolby Laboratories is an equal opportunity employer committed to building a diverse and inclusive workforce. Employment decisions are made without regard to race, religious creed, color, age,