Remotely
machine learningnlpdistributed systemspolystoreschema_matching
Job Description
📋 Description
- Investigate heterogeneous data management techniques and polystore architectures, applying AI/ML to
- Research and develop scalable ML tools/frameworks across tabular, time-series, text, audio, and
- Design/discover distributed data processing architectures leveraging edge computing for predictive
- Explore advanced data management approaches: storage, caching, query processing/optimization
- Conduct research into analytics, information extraction, metadata management, search/discovery
- Collaborate with peer research teams to identify opportunities involving applied AI/ML, including
🎯 Requirements
- PhD in Computer Science or a closely related field.
- Strong academic or professional background in relational databases, big data systems, and data
- Deep expertise in data management, data cleaning, distributed systems, database storage engines
- Demonstrated experience applying data science and ML techniques to real-world or research problems.
- Hands-on experience developing ML models and data science algorithms across diverse data types
- Strong understanding of scalable data processing architectures and distributed computing concepts.
🎁 Benefits
- Annual salary of $140,000–$160,000.
- Full-time, direct-hire employment.
- 100% remote work within the United States.
- Work on advanced problems spanning big data, distributed systems, AI, ML, and data science.
- Exposure to research-driven projects involving heterogeneous data, edge computing, and emerging
- Collaborative environment with peer research teams and opportunities to develop scalable frameworks