Senior ML Engineer, AI Insights for Infra Telemetry

CoreWeave

New York (NY)

On-site

USD 165,000 - 242,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with employer match
Flexible PTO
Catered lunch

Job summary

CoreWeave is seeking a Senior Machine Learning Engineer to design, build, and operate ML capabilities powering observability, troubleshooting, and optimization across high-volume telemetry. You’ll work with engineers, product managers, researchers, and infra experts to turn ambiguous problems into reliable systems.

You will own production ML components, contribute to technical direction, and help advance ML-based troubleshooting with partnerships across Mission Control, Grafana, and related

Qualifications

  • Several years of experience designing and shipping machine learning systems in production.
  • Strong Python skills; Go or similar systems language is a plus.
  • Solid ML fundamentals: model selection, feature engineering, evaluation, failure analysis.
  • Experience with time-series, logs, metrics, traces, or other operational data.
  • Experience building reliable data and inference services beyond notebooks or prototypes.
  • Ability to evaluate ambiguous ML problems and design robust solutions.

Responsibilities

  • Build and operate ML systems powering observability, troubleshooting, and optimization for CoreWeave's infrastructure.
  • Develop anomaly detection, time-series analysis, event correlation, ranking, and root-cause inference across high-volume telemetry.
  • Create datasets, experiments, and evaluation frameworks to measure model quality and robustness.
  • Develop data pipelines, feature-generation, inference services, and feedback loops for continuous improvement.
  • Integrate ML capabilities with telemetry platforms and customer-facing experiences (Mission Control, Grafana).
  • Collaborate with engineers on metrics, logs, traces, and data infrastructure.
  • Monitor quality, latency, reliability, and cost of ML-powered services in production.
  • Investigate data and model failures and implement durable fixes.

Skills

Python
Go
ML Fundamentals
Production ML
Time-series
Observability
Kubernetes
Communication

Tools

Grafana
Prometheus
VictoriaMetrics
ClickHouse
Loki
Kafka

Job description

CoreWeave is seeking a Senior Machine Learning Engineer to design, build, and operate ML capabilities powering observability, troubleshooting, and optimization across high-volume telemetry. You’ll work with engineers, product managers, researchers, and infra experts to turn ambiguous problems into reliable systems.

You will own production ML components, contribute to technical direction, and help advance ML-based troubleshooting with partnerships across Mission Control, Grafana, and related

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