Developing novel learning system frameworks and solving new data handling problems
Requirements
- Ph.D. in Data Science, Computer Science, Software Engineering, or a science field
- Five (5) years of experience in fundamental data science research
- Strong fluency in coding, including object-oriented programming and functional idioms
- Experience working in scientific, data-intensive, or ML-related environments
- Comprehensive understanding of deep learning internals and ability to think critically about fundamental data structures and management
Responsibilities
- Write modular, testable code to implement real time data management methods, statistics, or architectural mechanisms
- Extend an evolving codebase that supports structured learning experiments
- Help organize internal data structure for system components
- Write structured logging and diagnostic tools to support hypothesis-driven debugging
- Collaborate with other researchers to implement experimental systems, simulation infrastructure, and architecture modifications
Other
- Must be legally authorized to work in country of employment without sponsorship for employment visa status
- May include <10% domestic or international travel
- Relocation Assistance: May be authorized
- Ph.D. in Data Science, Computer Science, Software Engineering, or a science field
