--- title: 'Staff Machine Learning Engineer, AI Insights at CoreWeave' canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-ai-insights-coreweave-new-york-wsx49zrvjhwh' type: 'job' last_seen: '2026-10-14' --- # Staff Machine Learning Engineer, AI Insights at CoreWeave - **Company:** CoreWeave - **Location:** New York, NY - **Posted:** 2025-06-18 - **Last confirmed live:** 2026-10-14 - **Apply:** https://coreweave.com/careers/job?4577361006&board=coreweave&gh_jid=4577361006 ## Job description CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at [www.coreweave.com](http://www.coreweave.com/). ## About CoreWeave CoreWeave is an AI hyperscaler building the cloud infrastructure and services that power the next generation of artificial intelligence. Our customers run demanding training, inference, and high-performance workloads, and our teams build the systems needed to operate that infrastructure reliably at scale. ## About the team 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. Our work spans telemetry from metrics, logs, traces, alerts, and operational events. We are building the intelligence layer that turns this data into trustworthy, actionable insights—grounded in evidence and integrated into the tools where people operate CoreWeave infrastructure. This is not a role focused on building a generic chatbot. You will help build the underlying ML systems, services, evaluation frameworks, and product capabilities that make AI-powered troubleshooting and optimization reliable in real-world environments. ## About the role As a Staff Machine Learning Engineer, you will be a technical leader on the AI Insights team. You will define and implement the machine learning systems that power anomaly detection, signal correlation, incident understanding, recommendations, and other intelligence capabilities across CoreWeave’s observability and cloud platforms. You will work across the full lifecycle: framing problems, developing models and algorithms, designing evaluation methodology, building data and inference services, integrating with production systems, and operating the result at scale. You will partner closely with software engineers, product managers, researchers, and domain experts to turn promising ideas into reliable customer experiences. ## What you’ll do - 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. ## What we’re looking for - 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. ## 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. - Familiarity with human-in-the-loop workflows, access control, auditability, and safety requirements for operational systems. ## Why this role - Work on foundational AI capabilities for an AI-native cloud company. - Solve difficult ML problems using high-volume, high-value infrastructure telemetry. - Help define how engineers and customers understand, troubleshoot, and optimize large-scale AI workloads. - Influence the technical direction of a growing team at the intersection of machine learning, observability, and distributed systems. - Turn applied research and engineering ideas into production products used by CoreWeave engineers and customers. - Lead by example while helping establish the team’s engineering and ML practices. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: - Be Curious at Your Core - Act Like an Owner - Empower Employees - Deliver Best-in-Class Client Experiences - Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $180,000 to $250,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). ## What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: - 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 California Applicants [California Consumer Privacy Act](https://drive.google.com/file/d/1gPBRBhUNAMBmj7Yn4_M-hCugm7ZJD4hr/view?usp=sharing) ## Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the https://www.eeoc.gov/laws/guidance/fact-sheet-disability-discrimination, CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency.  CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process. ## About CoreWeave ## Company Overview - **One-liner**: CoreWeave is a specialized cloud provider delivering GPU-accelerated infrastructure for AI workloads, positioning itself as the AI Hyperscaler™. - **Entity Type**: Private (growth stage, multiple funding rounds) - **Headquarters**: Livingston, New Jersey, USA - **Founded**: 2017 [builtin.com](https://builtin.com/company/coreweave) - **Founders**: Mike Intrator (CEO, Co-founder), Brian Venturo (CSO, Co-founder), Brannin McBee (CDO, Co-founder), Peter Salanki (CTO, Co-founder) [coreweave.com/about-us](https://www.coreweave.com/about-us) ## Core Business - **Primary industry**: Cloud computing, AI infrastructure - **Target customers**: B2B, Enterprise AI labs, AI-native companies, and large-scale accelerated computing workloads - **Mission or purpose statement**: Power the creation and delivery of the intelligence that drives innovation (inferred from "power the creation and delivery of cutting-edge intelligence" [coreweave.com/about-us](https://www.coreweave.com/about-us)) ## Products & Services - **CoreWeave Cloud Platform**: IaaS/PaaS offering on-demand GPU compute, high-performance storage, and networking optimized for training and inferencing AI models. The platform is purpose-built for accelerated computing, providing a cloud-native alternative to traditional hyperscalers. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Over 1,450 total employees (as of 2025) [builtin.com](https://builtin.com/company/coreweave) - **Notable Investors/Partners**: Not specified in provided sources - **Growth Signals**: Named one of TIME100 Most Influential Companies and featured on Forbes Cloud 100 ranking in 2024 [builtin.com](https://builtin.com/company/coreweave); expanding data center footprint across the United States and Europe with offices in Livingston, Bellevue, New York, London, Sunnyvale, and Philadelphia [coreweave.com](https://www.coreweave.com/) [builtin.com](https://builtin.com/company/coreweave) ## Competitive Advantages - **Purpose-built for AI**: Deep expertise in GPU orchestration and a cloud platform architected specifically for AI workloads, offering higher performance and efficiency than general-purpose clouds. - **Scalable infrastructure**: Large-scale, highly efficient data center operations with advanced automation and world-class security protocols [coreweave.com/coreweave-company-culture](https://coreweave.com/coreweave-company-culture). - **Speed and agility**: Ability to rapidly deploy and scale GPU clusters, enabling customers to accelerate their AI development cycles. ## Strategic Focus - **Global expansion**: Continue growing data center capacity and presence across the US and Europe to meet surging demand for AI compute. - **Platform enhancement**: Invest in software stack, automation, and customer experience to maintain leadership as the AI Hyperscaler™. - **Talent attraction**: Build a world-class engineering and operations team to support hypergrowth and innovation. ## Why Work Here - **Culture & values**: CoreWeave promotes a culture of empowerment, curiosity, ownership, collaboration, and customer obsession. The company values continuous learning, transparency, and mutual trust [coreweave.com/about-us](https://www.coreweave.com/about-us). - **Work model**: Hybrid workspace with flexible on-site expectations; office locations in Livingston, Bellevue, New York, London, Sunnyvale, and Philadelphia [builtin.com](https://builtin.com/company/coreweave). - **Benefits**: - 401(k) with generous match (up to 4%) - Flexible PTO - Employee Stock Purchase Plan (ESPP) with 15% discount - Comprehensive healthcare (medical, dental, vision) - Mental wellness support (Spring Health, Calm app) - Family benefits: Kinside childcare concierge, Carrot fertility and family support, generous parental leave - Life and disability insurance - Flexible spending accounts (medical, dependent care, commuter) - Free daily meals [builtin.com](https://builtin.com/company/coreweave) - **Engineering culture**: Engineers are given ownership of their work, collaborate with top talent, and directly contribute to building the next-generation AI hyperscaler stack. The company emphasizes execution, bold ideas, and staying at the forefront of technology [coreweave.com/coreweave-company-culture](https://coreweave.com/coreweave-company-culture). - **Growth & learning**: Provides continuing education stipend, online course subscriptions, and job training programs [builtin.com](https://builtin.com/company/coreweave). ## Sources 1. [coreweave.com](https://www.coreweave.com/) 2. [coreweave.com/about-us](https://www.coreweave.com/about-us) 3. [coreweave.com/coreweave-company-culture](https://coreweave.com/coreweave-company-culture) 4. 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