Dolby Careers Multimodal Data Intern (PhD, Fall 2025)

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 benefitsnot to mention a Flex Work approach that is truly flexible to support where when and how you do your best work.

The Advanced Technology Group (ATG) is the research division of the company. ATGs mission is to look ahead deliver insights and innovate technological solutions that will fuel Dolbys continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering such as 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.

Summary:

Join our team to shape the future of automotive experiences by leveraging cutting-edge technologies and diverse data sources! As a Data Analyst Intern youll play a crucial role in analyzing multi-modal data from cars to enhance user experiences. Youll work with various data sources including audio video sensors and natural language interactions. Your insights will help shape the future of in-car audio experiences.

Responsibilities:

1. Multi-Modal Data Collection and Analysis:

• • Collaborate with a car data capture system to extract and integrate data from different automotive modalities (audio video GPS OBD2).
  • Develop preprocessing pipelines to handle synchronized multi-modal data.

1. Machine Learning Model Development:

• • Utilize machine learning techniques to create models for various tasks:

• • • Audio Processing Models:
      • Extract relevant features from audio data.
      • Train regression and classification models for audio processing noise detection.
    • Computer Vision Models:
      • Implement computer vision models for cockpit analysis passenger occupancy driver attention.
      • Perform semantic segmentation on video frames.
    • Sensor Fusion and Tracking:
      • Combine lidar radar and GPS data.
      • Track objects in real time.
    • Natural Language Processing (NLP):
      • Process language (text and/or waveform) for in-car interactions.

1. Model Evaluation and Optimization:

• • Evaluate the performance of multi-modal models using appropriate metrics.
  • Optimize models based on user feedback and real-world scenarios.

Requirements:

1. Education:

• • Pursuing a PhD degree in Computer Science Audiovisual Electric Engineering Design Mathematics Physics or related fields.

1. Technical Skills:

• • Experience with command-line interface
  • Experience with machine learning
  • Familiarity with cloud systems
  • Passion for multi-modal data analysis
  • Experience with hardware prototyping

We recognize that applying to internships can be a daunting process especially if you have not had any previous internships or if this is a new field of interest to you. Even if you do not have previous professional experience to meet the listed qualifications we will consider relevant project volunteer and extracurricular experiences and we encourage you to include them on your resume and apply.

Eligibility

Working towards a PhD in Computer Science Audiovisual Electric Engineering Design Mathematics Physics or related fields; recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday Friday for 3 months between September 2025 December 2025.

Start date for the internship is as follows: (*note* this date is not flexible)

• Monday September 22 2025

The San Francisco/Bay Area base salary range for this full-time position is $57/hr which can vary if outside this locationplus bonus benefits and some roles may also include equity. Our salary 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 competencies experience market demands internal parity and relevant education or training. Your recruiter can share more about the specific salary 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.