Data Researcher

• 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 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:

• 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.

• 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, Algorithms, Artificial Intelligence (AI), Atlassian JIRA, Audio Streaming, Audiovisual, Big Data, Caching, Cloud Computing, Communication Skills, Computer Science, Conferences, Data Analysis, Data Cleaning, Data Management, Data Mining, Data Modeling, Data Processing, Data Profiling, Data Quality, Data Science, Data Structures, Data Visualization, Distributed Computing, Distributed Databases, Git, IEEE (Institute of Electrical and Electronic Engineers), Just in Time (JIT), Machine Learning, Metadata, Natural Language Processing (NLP), Presentation/Verbal Skills, Privacy Controls, Problem Solving Skills, Project Management Software, Publications, Query Optimization, Relational Databases (RDBMS), Research Skills, Resource Management, Scalable System Development, Software Architecture, Software Development, Statistics, Structured Data, Systems Analysis, Technical Leadership, Use Cases, VLDB, Video Data Formats, Video Streaming