You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure
Job Summary
You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure.
This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations.
We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.
Matching Summary
You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure.
Skills & Requirements
Must-have
machine learning models
anomaly detection
event correlation
Python, SQL, time-series query languages
real-time event processing
model evaluation techniques
Nice-to-have
push the boundaries of AI/ML
innovative ideas
improve reliability
solution-oriented mindset
navigate ambiguity
learn quickly
Key Requirements
5+ years of experience building and deploying ML solutions
2+ years working with AIOps, observability, or real-time operations data
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field