Big Data Systems Research Scientist
Remote
Information
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 data science 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.
Company
Dolby
Requirements
Desired Background
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic techniques
Expertise in data management, data cleaning, data science and analytics, distributed systems, database storage engines, query processing and query 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 partnership skills
Excellent communication and presentation skills
Relevant publications in data mining/database conferences (e.g., KDD, WSDM, ICDM, ICDE, WEB, SIGMOD, VLDB, ICDCS, BigData)
Bonus if you have: experience with Databricks / Spark in addition to using multiple Cloud services’ data products and services
Bonus if you have: experience with AI models and cloud-based software development of AI models.