CV/ML intern (Summer 24)

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!

 

Dolby’s consumer entertainment and cinema businesses are bringing Dolby’s breakthrough technologies, powering the world’s top movies, TV shows, music, games, and live sports to more places around the world across a wider range of consumer experiences and devices.

 

Summary 

As an Imaging Engineering Intern at Dolby, you will help build the tools needed to bring Dolby Vision to home cinema, TV, and theatres. Currently, that includes mastering tools for creating video streams, metadata editing, real-time image processing for post-production and real-time live broadcast, as well as tools to help us integrate into existing production systems. Creativity, flexibility, and the ability to tailor your solution to the project at hand are highly valued attributes.  

Responsibilities  

• Prototype and validate new features and algorithms.  

• Code and test post production and live broadcast tools.  

• Troubleshoot and fix bugs and issues.  

Qualifications  

• Graduate student in Computer Science/Engineering, Electrical Engineering, Image Science, or equivalent experience.  

• Proficiency with python/C++ and Linux.  

• Experience with image processing, computer vision, machine learning/deep learning  algorithms and implementations.  

• Experience with current software practices and tools (e.g. Jira, Git).  

• Bonus: Experience with professional post production tools, image processing, CUDA processing, multi-threaded/parallel processing.  

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 PhD degree in Electrical Engineering, Computer Engineering, or a related field; 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 starting from May/June 2024.

Start date for the internship is as follows: (*note* these dates are not flexible) 

•  May 20, 2024

•  June 3, 2024

•  June 17, 2024

 

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.