Senior Database Researcher - Flexible, Edge & Cloud Data

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

Job summary

Dolby is seeking researchers for the Advanced Technology Group in Atlanta to advance data platforms, analytics, and AI for audio/video applications. The role focuses on large-scale cloud and edge data, data quality, and novel data-driven experiences.

Ideal candidates have a PhD in CS or related field, strong background in databases and distributed systems, and expertise in data science, ML, and algorithm development. Strong collaboration and communication skills are essential.

Qualifications

• PhD in Computer Science or similar field.
• Background in relational databases, big data systems, and data analytics.
• Expertise in data management, data cleaning, distributed systems, storage engines, query processing and optimization, and applied data science.
• Knowledge of statistics and machine learning.
• Proficiency in data structures and algorithms.
• Familiar with Git and JIRA.
• Excellent problem-solving and partnership skills.
• Excellent communication and presentation skills.
• Bonus: Databricks / Spark and cloud data products experience.

Responsibilities

• Investigate heterogenous data management techniques and polystore systems, including AI/ML applications to data management problems.
• Develop tools/frameworks for scalable ML models and data science algorithms across data domains.
• Create distributed data processing architectures leveraging edge compute for novel use cases.
• Collaborate with ATG researchers on data-related opportunities in AI/ML for audio/video domains.

Skills

Relational databases

Distributed systems

Data analytics

Machine learning

Programming

Education

PhD in Computer Science

Tools

Git

JIRA

Databricks

Spark

Job description

Dolby is seeking researchers for the Advanced Technology Group in Atlanta to advance data platforms, analytics, and AI for audio/video applications. The role focuses on large-scale cloud and edge data, data quality, and novel data-driven experiences.

Ideal candidates have a PhD in CS or related field, strong background in databases and distributed systems, and expertise in data science, ML, and algorithm development. Strong collaboration and communication skills are essential.