Senior Machine Learning Engineer, AI Insights
CoreWeave · New York, NY
Posted about 2 months ago · $165,000 to $242,000 · Previously reposted
or apply directly on CoreWeave's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 66 days CoreWeave's roles stay open a median of 66 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- Yes 94% of CoreWeave's roles list one
- Ghost-job risk at CoreWeave
- high 246 stale, 8 reposted of 293 open
- Hiring momentum
- 403 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-08
Measured from postings appearing on and disappearing from CoreWeave's own greenhouse board since 2026-08-03. Full hiring picture for CoreWeave.
About this role
As a Senior Machine Learning Engineer at CoreWeave, you will design and implement machine learning systems that enhance observability, troubleshooting, and optimization for AI workloads. Your role will involve the entire ML development lifecycle, from understanding problems and preparing data to deploying models and improving them based on real-world feedback. You will collaborate with various teams to ensure the reliability and effectiveness of these systems in production environments.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of CoreWeave as an employer.
What you need
- 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.
Nice to have
- Experience with observability platforms or technologies such as Grafana, Prometheus, VictoriaMetrics, ClickHouse, Loki, or Kafka.
- Experience with Kubernetes and cloud infrastructure, especially for telemetry, logging, or application observability.
- Experience with anomaly detection, incident intelligence, search, recommendations, or ranking systems.
- Experience with large language model evaluation, post-training, retrieval, tool use, or grounded generation—particularly when combined with structured telemetry and deterministic systems.
- Experience building ML products for infrastructure, developer tools, reliability engineering, or other technical users.
What you get
- 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
Worth weighing
- No specific technologies or frameworks mentioned beyond Python and Go, which may limit exposure to other modern tools.
- The role emphasizes production ML systems, which may involve operational complexities and challenges.
- The job is located in New York, which may have a higher cost of living compared to other locations.
Summarised from CoreWeave's posting. Read the full original.
Listed by CoreWeave on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.
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