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Staff Machine Learning Engineer, AI Insights

CoreWeave· Technology
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New York, NY$180k - $250kPosted 7mo ago

About the role

Staff ML Engineer leading production ML systems for infrastructure observability, anomaly detection, and AI-powered insights within CoreWeave’s AI Insights team. Role focuses on building and scaling ML capabilities for incident understanding, recommendations, and optimization across telemetry platforms and Mission Control ecosystem.

Responsibilities

  • 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.
  • Integrate ML capabilities with telemetry platforms and customer-facing experiences, including Mission Control, Grafana, and related observability services.
  • Establish practical standards for experimentation, offline and online evaluation, monitoring, reproducibility, and model lifecycle management.
  • Make thoughtful trade-offs across model quality, latency, cost, interpretability, reliability, and ease of operation.
  • Work with teams responsible for metrics, logs, traces, telemetry enrichment, and platform APIs to create coherent cross-system intelligence.
  • Mentor engineers and raise the technical bar for machine learning and production engineering across the organization.
  • Communicate technical decisions clearly and influence roadmaps across teams without relying on formal authority.

Qualifications

  • 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.
  • Strong systems thinking and the ability to reason about distributed systems, data quality, latency, observability, and operational failure modes.
  • Excellent communication and collaboration skills, including the ability to work effectively with research, product, infrastructure, and customer-facing teams.
  • A track record of technical leadership, mentorship, and influence across organizational boundaries.

Skills

Required:PythonTime-series analysisML system designEvaluation methodology
Nice to have:Go

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
Last updated Oct 14, 2026. Interested? Apply on the company site.

About CoreWeave

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