Sr Data Researcher

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 is critical to synthesizing experiences that are otherwise unimaginable.

We’re looking for talented database systems and big data management researchers who are excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large. Research in the areas of data platforms, data science and analytics at Dolby Laboratories focuses on all aspects of large-scale cloud and edge data platforms and services, and novel ways to accelerate discovering insight from data.

We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems’ concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.

Key Responsibilities:

Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.

Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across heterogenous data domains, including tabular, time series, text, audio and video.

Create distributed data processing architectures that leverage “compute at the edge” to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.

Work with ATG researchers to understand data-related opportunities in peer researchers’ domains such as applied AI and machine learning in Audio / Video domains.

What You Need To Succeed

Competencies

Technical depth: Necessary technical knowledge to create new SW architecture needed for real time just in time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.

Explore new technologies: Openness to learn new areas and innovate in the new areas.

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.

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

PhD in Computer Science, or similar fields

Background in relational databases, big data systems, and data analytic systems

Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science

Knowledge of statistics and machine learning

Proficiency in data structures and algorithms

Familiar with git and project management tools, such as JIRA

Excellent problem-solving and partnership skills

Excellent communication and presentation skills

Relevan