InsightFinder provides innovative machine learning technology to unlock the value in IT operational data, from
performance metrics to textual log files, finding root causes for deviations from normal behaviors and recurring
patterns, as well as predicting future events and outages to reduce unnecessary human intervention. InsightFinder’s
core technologies and patent-pending solutions are available via online subscription or on-premise deployment.
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.