Senior Database Researcher

Dolby Laboratories; Atlanta (GA); On-site; USD 143,500 - 168,200; Full time

Benefits offered by this job

Flex Work

Job summary

Dolby Laboratories’ Advanced Technology Group (ATG) seeks researchers to advance data platforms, analytics, and AI/ML for large-scale cloud and edge ecosystems. You will explore data management, streaming, and distributed processing across audio/video domains, collaborating with cross-disciplinary teams.

The role emphasizes cutting-edge data science and engineering, with emphasis on research-to-production in a leading entertainment tech company.

Qualifications

• PhD in Computer Science or similar field is required.
• Strong background in relational databases, big data systems, and data analytics.
• Expertise in data management, distributed systems, storage engines, query processing and optimization.
• 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 communication skills.
• Publications in data mining / database venues are a plus.
• Bonus: Databricks / Spark and cloud data services experience.

Responsibilities

• Investigate heterogeneous data management techniques and polystore systems using AI/ML.
• Develop tools/frameworks for scalable ML models across diverse data domains.
• Create distributed data processing architectures leveraging edge compute for new use cases.
• Collaborate with ATG researchers on data-related opportunities in AI/ML for Audio/Video domains.

Skills

Relational databases

Big data

Distributed systems

Data analytics

Machine learning

Data structures & algorithms

Problem solving

Communication skills

Applied AI

Education

PhD in Computer Science

Tools

Databricks

Spark

Git

JIRA

Job description

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 Will Accomplish

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
• Relevant publications in data mining / database conferences (e.g., SIGMOD, VLDB, ICDCS, IEEE BigData, ICDE, KDD, WSDM, ICDM, WEB)
• Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services’ data products and services
• Bonus: Experience with AI models and cloud-based software development of AI models

Learn more about our innovative research: https://www.dolby.com/about/innovation/empowering/

The Atlanta Area base salary range for this full-time position is$143,500-$168,200, which can vary if outside this location, plus bonus, benefits, profit sharing and equity compensation. 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.