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Urgent! PhD Research Intern- Multimodal Experiences (Summer '26) Job Opening In San Francisco – Now Hiring Dolby Laboratories

PhD Research Intern Multimodal Experiences (Summer '26)



Job description

Summary

of Position: 
We are a key research team within Dolby’s Advanced Technology Group, focused on creating cutting edge multimodal technologies that drive next generation experiences.

We are looking for strong candidates with an interest in, but not limited to one of more of the following areas:

  • Machine perception and reasoning



  • Computer vision, speech/audio processing and natural language processing 



  • Multimodal/cross-modal representation learning



  • Multimedia content analysis, generation and enhancement (music, speech, audio, video, and/or text)



  • Speech, music, or video content understanding and information retrieval



  • Generative AI for media creation



  • Efficient deep learning



  • Explainable AI and trustworthy AI



  • Perceptual and interactive multimedia



  • Spatial computing for 6DoF A/V media



  • 3D deep learning (including NERF, Gaussian Splatting, etc.)



  • 2D/3D Object detection/segmentation/recognition/tracking



  • Computational photography



  • Human sensing for entertainment applications (human computer interfaces, affective computing, physiological data measurement and analysis, etc.)



  • Computational/experimental neuroscience and human perception



  • Immersive experiences and personalization experiential systems


  • Requirements:


  • PhD students in Artificial Intelligence, Electrical Engineering, Computer Science, Bioengineering, Neuroscience, or related field.



  • Proven ability to pursue new areas of multimodal research for AI, data analysis, or neuroscience and demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences.



  • Experience as a researcher, including internships, full-time, or at a lab.



  • Experience with one or more programming languages (e.g., Python, C/C++, MATLAB, etc.).


  • Highly Desired Experience in one of the following:


  • Creating demos and prototypes for research applications.



  • Working with frameworks like PyTorch or TensorFlow.



  • Developing and training multimodal deep learning architectures.



  • Writing technical reports and/or publications.



  • First-author publications at peer-reviewed conferences or journals.


  • We will review applications on a rolling basis.

    For the best chance to have your resume reviewed and considered, we recommend submitting your application by October 17, 2025.

    Eligibility:

    Currently a PhD student in Artificial Intelligence, Electrical Engineering, Computer Science, Bioengineering, Neuroscience, or related field.

    Must be available to work full-time Monday – Friday for 12 weeks between May/June 2026 – August/September 2026.

    The start dates for this internship are as follows (please note these dates are not flexible):


  • May 18, 2026 or



  • June 15, 2026


  • The San Francisco/Bay Area base hourly range for this internship position is $50-57/hrand can vary if outside of this location.

    Our hourly ranges are determined by role, level, and location.

    Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

    Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

    Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12 Equal Employment Opportunity:
    Dolby is proud to be an equal opportunity employer.

    Our success depends on the combined skills and talents of all our employees.

    We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.


    Required Skill Profession

    Life Scientists



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