Staff Machine Learning Engineer, AI Insights

Job summary

Responsibilities

As a Staff Machine Learning Engineer, you will be a technical leader on the AI Insights team. You will define and implement the machine learning systems that power anomaly detection, signal correlation, incident understanding, recommendations, and other intelligence capabilities across CoreWeave’s…

• Lead the technical design and delivery of production machine learning systems for infrastructure observability, troubleshooting, and optimization.
• Develop approaches for anomaly detection, time-series analysis, event correlation, ranking, recommendation, classification, and root-cause inference across high-volume telemetry.
• Build evaluation frameworks and datasets that measure accuracy, usefulness, robustness, and safety in real operational scenarios.
• Translate research and prototypes into maintainable, scalable services with clear operational ownership.
• Design data pipelines, feature-generation workflows, model-serving paths, and feedback loops for continuous improvement.

What they're looking for

• Significant experience designing and shipping machine learning systems that operate in production.
• Strong software engineering skills in Python; experience with Go or another systems-oriented language is a plus.
• Deep understanding of machine learning fundamentals, including model selection, feature engineering, experimentation, evaluation, and failure analysis.
• Experience working with time-series, event, log, metric, trace, or other operational data at meaningful scale.
• Demonstrated ability to define evaluation methodology for ambiguous or domain-specific ML problems.

Tech stack

• Python
• Go
• Kafka
• Kubernetes