Hiring: Senior Database Researcher Company: Dolby Laboratories Location: Atlanta, GA Job Posted Time: 2026-09-02 17:58:49 Employment Type: Full-time Target Skills & Keywords: Big Data Management, Polystore Systems, AI/ML, Data Quality, Data Profiling, Data Integration, Schema Matching, Distributed Data Processing, Edge Computing, Time-Series Analytics, Metadata Management, Query Processing, Query Optimization, Data Visualization, NLP, Data Mining, Cloud & Edge Data Platforms Experience: - Research experience in database systems and big data management - Experience with large-scale cloud and edge data platforms and services - Background in developing tools and frameworks for scalable machine learning and data science algorithms - Experience with distributed data processing architectures and edge computing - Research in heterogeneous data management and polystore systems Required Skills: - Investigate heterogeneous data management techniques and polystore systems - Apply AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration, and schema matching - Develop tools and frameworks for scalable development of machine learning models and data science algorithms across heterogeneous data domains (tabular, time series, text, audio, video) - Create distributed data processing architectures leveraging "compute at the edge" for use cases such as predictive routing, data-driven experiences, and adaptive environments - Collaborate with ATG researchers to understand data-related opportunities in domains such as applied AI and machine learning in Audio/Video domains - Technical depth to create new software architecture for real-time systems Qualifications: - Expertise in computer science and/or electrical engineering - Strong research background in data platforms, data science, and analytics - Knowledge of big data systems including resource management, storage, caching, query processing, query optimization, security, and privacy - Familiarity with information extraction, time-series and heterogeneous data analytics, metadata management, applied AI, machine learning, data mining, data visualization, and natural language processing - Ability to work in a collegial, research-driven environment Compensation: - Excellent compensation and benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!