Senior Machine Learning Engineer, AI Insights
CoreWeave· Technology
New York, NY$165k - $242k + equity + bonusFull-timePosted 7mo ago
About the role
Senior Machine Learning Engineer responsible for designing, building, and operating ML capabilities powering observability, troubleshooting, and optimization experiences within CoreWeave’s Mission Control portfolio.
Responsibilities
- 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.
- Create datasets, experiments, and evaluation frameworks to measure model quality, robustness, usefulness, and failure modes.
- Build data pipelines, feature-generation workflows, inference services, and feedback loops for continuous improvement.
- Integrate ML capabilities with telemetry platforms and customer-facing experiences, including Mission Control, Grafana, and related observability services.
- Collaborate with engineers working on metrics, logs, traces, telemetry enrichment, platform APIs, and data infrastructure.
- Monitor and improve the quality, latency, reliability, and cost of ML-powered services in production.
- Investigate data and model failures, identify root causes, and implement durable fixes.
- Make thoughtful trade-offs across model quality, interpretability, operational complexity, latency, and cost.
- Contribute to technical designs, code reviews, testing standards, and operational practices for the team.
- Partner with Staff engineers and technical leaders to break down complex initiatives and deliver incrementally.
- Share knowledge through documentation, mentorship, and collaboration with engineers across CoreWeave.
Qualifications
- 5+ years of experience designing and shipping machine learning systems that operate in production.
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical field
- 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.
Skills
Required:PythonTime-series / telemetry data
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 Sep 30, 2026. Interested? Apply on the company site.
About CoreWeave
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