Color Processing Research 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 looking to recruit interns in the Imaging Advanced Research group. The qualified candidate will develop novel color image/video processing methods to support the next generation of Dolby technologies.

Responsibilities

• Design and implement innovative image/video processing and color transformation algorithms.

• Document and present the new algorithms and implementations in various forms, such as technical white papers, etc.; where appropriate, help generate intellectual property pertaining to the technologies researched.
  

Qualifications

• In study towards a M.S. or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science or related field.

• Availability for a minimum of 3 months internship required.

• Solid coursework or research background in image/video processing, color science.

• Experience developing machine learning algorithms for image processing a plus.

• Experience with some form of camera image signal processing and 3A algorithms a plus.

• Proficient in MATLAB/Python, C/C++

• Excellent written and verbal communication skills. Strong team player.
  

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 master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field; recent grads within six months of graduation are also eligible to apply. Must be available to work full-time, Monday to Friday, for three months starting from September 2023.

Start date for the internship is as follows (Note that this start date is not flexible):

• Monday, September 25, 2023
  

The San Francisco/Bay Area base hourly range for this internship position is $45-50/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.