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.

　　Join the Big Idea Innovation team within the Advanced Technology Group organization (ATG) and immerse yourself in the exciting world of emerging opportunities and innovation. As a key player in disrupting norms, challenging conventional practices, and fostering fresh perspectives, you'll be part of a team that sparks transformative conversations within Dolby.

　　The Team: The ATG's Big Idea Innovation team is on a mission to unearth high-potential opportunities that drive Dolby's innovation forward. We dive into technology and market trends, consumer behaviors, and industry innovations to connect the dots between market data, research programs, and product opportunities. We're searching for an intern with a passion for evaluating and incubating innovative ideas from a market potential perspective.

　　Your Role: As an intern with us, you'll work closely with research teams to assess and develop ideas with a large market opportunity and strong industry fit and ideate about go-to-market strategies. To be effective in this role you need an ongoing interest in technology, industry, and market trends. We seek a resourceful and organized hard worker who is an independent thinker but can collaborate and communicate well with people across the organization.

　　Responsibilities: Collaborate with diverse teams, presenting your insights and recommendations to drive innovation across Dolby. Conduct market analysis to determine the total addressable market (TAM) for candidate Big Ideas. Estimate the potential costs associated with scaling and implementing the concept in the market vs. potential expected returns. Perform deeper dives and competitive analysis in different market sectors (e.g., Wellness, Creator Economy, Generative AI, etc). Build out and automate important industry data sets & trackers (market, device, services, user behaviors) to stay on top of key trends, economic control points, supply chain and changing generational habits. Present your analysis, insights and recommendations to relevant ATG teams and business group partners within Dolby. Work with the research interns and their mentors to identify potential ideas that can seed big idea innovation. Qualifications: Currently, doing/finished an MBA or business leaning Masters / PhD in computer science, data analytics technical, or related fields. Passion for technology User centric mindset Able to analyze market data to understand economic control points and model addressable market Demonstrated ability to reduce large datasets into well designed data graphics. Examples of data modeling, forecasting and analytics creation Knowledge of strategic analysis tools and methods Interest and understanding of: product and competitive landscape analysis ability to quickly learn and build-up sufficient knowledge in order to inform technology strategy. Strong oral and written communication, presentation, and interpersonal skills; excellent 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 n MBA or business leaning Masters / PhD in computer science, data analytics technical, 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 starting from May/June 2024, and be in person at our San Francisco office 3 days a week.

　　Start date for the internship is as follows: (note this date is not flexible) Monday, May 20, 2024 Monday, June 17, 2024 The San Francisco/Bay Area base hourly range for this internship position is $44-55/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.