InsightFinder is the industry’s first system of intelligence for IT operations that predicts incidents hours before they occur. The company’s patented anomaly detection algorithms use unsupervised machine learning to automatically identify, diagnose, and remediate issues from logs, metrics, and traces.
Join the team that is changing how modern applications are deployed and managed. If you’re ready to test your limits and be part of the next great technology success story, we need you here!
Duties
- Design and develop machine learning system infrastructures and core algorithms for the company’s Log Intelligence Engine product
- Develop the core algorithms to support real-time keyword and
phrase extraction, anomaly event detection, similar log entry grouping, principal log pattern extraction
using various machine learning technologies such as artificial neural networks, NLP, etc.
- Build the
feature of leveraging the extracted log patterns to achieve lossless log compression for reducing the
customer’s storage footprint
- Develop new Restful APIs for new features of the company’s product
- Development incident prediction systems; improve I/O streaming
Requirements
- Master’s degree in Computer Science with coursework in Course works in applied machine learning and advanced information retrieval
