PhD Image Capture Intern

Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s 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:

We are seeking a highly motivated and talented Image Signal Processing Intern to join our

dynamic team. This internship provides a unique opportunity to gain experience in the field of

image processing and to contribute to the development of novel imaging solutions.

Responsibilities:

• Conduct research and literature review on the latest techniques in image signal
  
  

processing for event cameras and RGB cameras.

• Develop and implement algorithms for image synchronization and enhancement using
  
  

event and RGB camera data.

• Perform experiments and evaluate the performance of image processing algorithms.
• Document research findings, code, and methodologies for future reference.
• Present results and progress to the team during regular meetings.
  
  

Qualifications:

• Currently pursuing or recently completed PhD in Electrical Engineering, Computer
  
  

Science, Image Processing, or a related field.

• Strong understanding of image processing concepts and techniques.
• Experience with programming languages such as Python, C++, or MATLAB.
• Interest in working with event-based vision and conventional RGB camera systems.
• Knowledge of machine learning and computer vision libraries such as OpenCV,
  
  

TensorFlow, or PyTorch.

• Excellent problem-solving skills and the ability to work independently as well as part of a
  
  

team.

• Strong communication skills and the ability to present technical information clearly.
  
  

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 Electrical Engineering, Computer Science, Image Processing, 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 2024 –

December 2024.

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

• Monday, September 23, 2024
  
  

The San Francisco/Bay Area base hourly range for this internship position is $44-57/hr and 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.

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