Senior Machine Learning Engineer, AI Insights

Role description

Role Overview

The AI Insights team builds customer-facing AI capabilities across CoreWeave’s Mission Control portfolio. We combine machine learning, observability, and production software engineering to help engineers and customers understand workload health, diagnose infrastructure issues, and identify opportunities to improve efficiency, capacity, and performance.

What You Will Do

Build and ship 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.

Why It Might Be a Fit

Work on foundational AI capabilities for an AI-native cloud company. Solve difficult ML problems using high-volume, high-value infrastructure telemetry. Help engineers and customers understand, troubleshoot, and optimize large-scale AI workloads.

Requirements

• Several years of 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.
• Solid 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.
• Experience building reliable data and inference services, not only notebooks or offline prototypes.
• Experience defining and implementing evaluation methodology for ambiguous or domain-specific ML problems.
• Strong debugging and systems-thinking skills, including the ability to reason about data quality, distributed systems, latency, and operational failure modes.
• Experience taking an ML capability from an initial hypothesis through production launch and iteration.
• Excellent communication and collaboration skills, with the ability to work effectively across engineering, research, product, and infrastructure teams.
• A track record of owning complex technical work and delivering results with appropriate guidance and autonomy.

Benefits

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption