ML Engineer: AI-Driven Observability & Anomaly Detection

Datadog is seeking an ML Engineer to build AI-powered observability features. You will develop anomaly detection models, root cause analysis systems, and intelligent alerting that helps engineering teams monitor and troubleshoot their infrastructure and applications.

• 3+ years of ML engineering experience
• Experience with time-series analysis and anomaly detection
• Strong skills in Python and Go
• Understanding of distributed systems and observability
• Experience with real-time data processing

• Experience with observability or monitoring platforms
• Background in unsupervised learning
• Experience with large-scale streaming data systems
• Knowledge of SRE or Dev Ops practices

Learning stipend

Parental leave

Anomaly Detection Time Series Python Go Observability Real-time ML

This listing was posted on  and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.

We don’t have an application link for this role.

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