At a Glance
- Tasks: Develop advanced models to optimise GPU usage and enhance infrastructure efficiency.
- Company: Join CoreWeave, a pioneering cloud platform for AI with a vibrant culture.
- Benefits: Enjoy competitive salary, comprehensive health insurance, and tuition reimbursement.
- Other info: Embrace a hybrid work culture with opportunities for growth and innovation.
- Why this job: Make a real impact in AI while collaborating with top talent in a fast-paced environment.
- Qualifications: MS or PhD in a quantitative field with strong Python skills and experience in machine learning.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
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
Preferred
- 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
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team:
- 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
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!
Compliance and Privacy
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
Benefits may vary by location.
Our Workplace
While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
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.
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 U.S. person or eligible to access without a required export authorization.
Data Scientist employer: Dormont Manufacturing Co
CoreWeave is an exceptional employer that champions innovation and collaboration, making it an ideal place for Data Scientists to thrive. With a strong focus on employee growth, competitive benefits including family-level medical and dental insurance, and a culture that encourages curiosity and ownership, CoreWeave provides a dynamic environment where your contributions directly impact the future of AI infrastructure. Join a team of pioneers in a rapidly growing company that values diverse experiences and fosters a supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Mock interviews with friends or mentors can help you feel more confident and articulate your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical models, machine learning, and any relevant projects that showcase your skills in Python and data analysis.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with CoreWeave's mission. Don't forget to mention specific experiences that relate to the job description.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving large-scale datasets or predictive modelling, make sure to include them. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Science Stuff
Make sure you brush up on your statistical models and machine learning methodologies. CoreWeave is looking for someone who can optimise GPU utilisation and workload scheduling, so be ready to discuss your experience with large-scale datasets and the tools you've used, like Python and its scientific libraries.
✨Show Off Your Experimentation Skills
Since you'll be designing experiments and analysing telemetry data, prepare to talk about your experience with A/B testing and causal inference. Have a couple of examples ready that showcase how your experiments led to real-world improvements in performance or cost.
✨Get Familiar with Their Tech Stack
CoreWeave works with distributed data systems like Spark and Dask, so if you have experience with these, make sure to highlight it. Also, brush up on your SQL skills and be prepared to discuss how you've built and validated predictive models in production environments.
✨Emphasise Collaboration
This role involves working closely with various teams, so be ready to share examples of how you've collaborated cross-functionally in the past. CoreWeave values teamwork, so demonstrating your ability to translate research insights into deployable solutions will definitely work in your favour.
