Dolby Laboratories

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. What you’ll do Sight and Sound play a large role in our day-to-day experiences.. You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.. Core Responsibilities: Drive multiple research initiatives for ATG related to Data Science, visualization, collaborative, and immersive experiences in areas of social media, enterprise interactions, cinema, television, mobile interactions, and video games.. Leverage various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal Processing, and Algorithms to best shape the experiences.. Experience in a research leadership role with team HR-management responsibilities in an industrial research lab.

data science

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, you’ll 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. We’re 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 benefits, not 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. 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. What you’ll do Sight and Sound play a large role in our day-to-day experiences. We believe data can play a huge role in making the experiences personalized and resilient. Data can also a big role in synthesizing experiences that otherwise could only be imagined. We’re looking for a Data Science leader who is excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large. You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science. Core Responsibilities: Drive multiple research initiatives for ATG related to Data Science, visualization, collaborative, and immersive experiences in areas of social media, enterprise interactions, cinema, television, mobile interactions, and video games. Develop long-term and short-term vision for the research initiatives and influence the global research leadership. Partner with ATG leadership in attracting, mentoring, and nurturing research talent in a wide variety of areas. Initiate new research projects: By nurturing and influencing the bottom-up ideas of the researchers By developing new personal areas of interest aligned with ATG goals Participate in promotions and career development process at the global ATG leadership level. Leverage various state-of-the-art tools and technologies afforded by computer science, including Artificial Intelligence, Machine Learning, Digital Signal Processing, and Algorithms to best shape the experiences. Assist in developing the research vision and goals and objectives for the upcoming year. Provide thought leadership both internally (within Dolby) and externally (in academia and industry). What you need to succeed Competencies Invent & Innovate: Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production. Work with a sense of Urgency: Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market. Become a thought leader: Become the go-to person within ATG and across all engineering communities of Dolby’s business groups. Develop deep expertise in areas to influence Dolby’s direction and ATG colleagues. Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises. Desired Background Visionary: Envisions short- and long-term opportunities. Responds aggressively to changing trends and new technologies and creates plans to capitalize on them. Takes appropriate business risks. Makes intelligent decisions that balance a variety of factors (costs, competitive threats, etc.). Thought Leader: Is seen as an expert across the organization and throughout the industry. Promotes new ways of thinking. Highly influential. Is well-received and respected by executives, direct teams, cross-functional groups, customers, and partners. Nurturer/Mentor: Builds great teams around a focused mission. Translates overarching business goals into specific objectives for each member of the team. Able to collaborate, mobilize and engage multiple stakeholder groups at different levels. Demonstrated ability to take bold initiatives and the ability to solve hard problems, prioritize work, and make decisions. Strong analytical, mathematical modeling, optimization, and software skills and ability to work with multiple levels of abstractions. Excellent interpersonal & communication skills, including scientific writing, presenting, and formal briefings. Experience in a research leadership role with team HR-management responsibilities in an industrial research lab. Minimum 10+ years of experience. Ph.D., Computer Science, or related areas Record of working with and influencing both technology and business leaders. Should have a strong publication record in top computer science-related conferences and/or journals. Strong publication record in top-tier conferences in one or multiple of the following areas: Machine Learning Natural Language Processing Computer Vision Artificial Intelligence The Atlanta Area base salary range for this full-time position is$199,300- $247,500,which can vary if outside this location,plus 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.

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