Data Scientist
Indexed description
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What You’ll Do
The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. We partner closely with Fleet, Infrastructure, and AI Platform teams to improve cluster reliability, increase effective utilization (MFU), reduce MTTR, and protect uptime and revenue.
About The Role
As a Data Science Researcher, you will develop advanced statistical models and machine learning methodologies to optimize GPU utilization, workload scheduling, and infrastructure efficiency. You will design experiments, analyze large-scale system telemetry data, and prototype predictive and optimization algorithms that directly inform production systems. This role blends research rigor with real-world impact, turning complex infrastructure data into measurable improvements in performance and cost. You will collaborate cross-functionally to translate research insights into deployable solutions.
Who You Are
- MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field
- 8+ years (or equivalent research experience) applying statistical modeling or machine learning to large-scale datasets
- Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)
- Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
- Experience working with distributed data systems (Spark, Ray, Dask, or similar)
- Proficiency in SQL and working with large-scale structured datasets
- Experience building and validating predictive models in production or research environments
- Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning)
- Experience working with time-series data and performance telemetry
- Ability to translate research findings into production-ready prototypes
- PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling
- Experience with GPU workloads, distributed training, or AI infrastructure
- Familiarity with Kubernetes, containerized workloads, or cloud-native systems
- Experience developing reinforcement learning or adaptive scheduling systems
- Background in capacity planning, forecasting, or resource allocation modeling
- Contributions to open-source ML or systems projects
- You love uncovering hidden failure patterns in massive, noisy infrastructure datasets
- You’re curious about building autonomous, agentic systems that investigate and explain system behavior
- You’re an expert in reinforcement learning, predictive modeling, or large-scale data analysis
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
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.
CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms & Conditions associated with the use of CVs will be considered null and void.
Any unsolicited CVs sent by your company to us – that is to say, in any situation where we have not directly engaged your company in writing to supply candidates for a specific vacancy – will be considered by us to be a “free gift”, leaving us liable for no fees whatsoever should we choose to contact the candidate directly and engage the candidate’s services, and will in no way establish any prior claim by your company to representation of that candidate should the candidate’s details also be submitted by any other party.
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.
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