CoreWeave
Technology
SeniorDataScientist
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“Senior Data Scientist at CoreWeave. Skills: Machine learning, Applied AI, Production ML systems, Physical AI. Take end-to-end ownership of complex machine learning problems. Work closely with engineering teams”
What You'll Achieve.
Build and scale AI with confidence; Accelerate breakthroughs; Turn compute into capability
Industry & Context.
Problem framing; Experimentation
Basic criminal record check
What They're Looking For.
Must Have
5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in applied AI, Evidence of delivering high-impact production ML systems, Software engineering skills in Python, Experience using NumPy, Experience using pandas, Experience using SciPy, Experience using scikit-learn, Experience using PyTorch, Experience using TensorFlow, Experience deploying ML systems in production, Experience supporting ML systems in production, Experience with cloud-based environments, Grounding in statistical modelling, Grounding in machine learning experimentation, Grounding in evaluation, Experience working with time-series datasets, Experience working with high-dimensional datasets, Experience working with imperfect real-world datasets
Nice to Have
Background in engineering, Background in physics, Background in chemistry, Background in STEM discipline connected to complex physical systems, Experience with anomaly detection, Experience with optimisation, Experience with reliability-focused modelling, Experience with related approaches in industrial settings, Experience building agents, Experience experimenting with agents, Experience building autonomous systems, Experience experimenting with autonomous systems, Familiarity with MLOps, Familiarity with model monitoring, Familiarity with efficient compute practices, Experience working with sparse real-world data, Experience working with noisy real-world data, Track record of collaborating closely with deployed teams, Track record of collaborating closely with client-facing teams, PhD preferred
What You'll Do.
Take end-to-end ownership of complex machine learning problems
Work closely with engineering teams
Work closely with product teams
Work closely with client-facing teams
Turn advanced ML methods into production-ready solutions
Communicate technical decisions clearly
How You'll Work.
Team & Collaboration
Cross-functionally with engineering; Cross-functionally with product; Cross-functionally with customer-facing teams; With deployed teams; With client-facing teams
Communication Scope
Explain technical decisions
Full 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. We're proud to be a Living Wage accredited Employer. What You’ll Do: CoreWeave’s Monolith team is building the essential cloud platform for AI innovators, applying machine learning to solve intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure and applied data science, transforming how complex industrial products - such as automotive systems, aircraft, and advanced batteries - are conceived, tested, and developed. About the role: As a Senior Data Scientist, you will take end-to-end ownership of complex machine learning problems across the Physical AI space. This is a high-impact role for someone with a strong technical foundation and a generalist mindset who can move from problem framing and experimentation through deployment and ongoing support. You will work closely with engineering, product, and client-facing teams to turn advanced ML methods into production-ready solutions that can be trusted in real customer environments. The role blends research depth with practical delivery, and requires someone who can align stakeholders, surface risks and limitations, and communicate technical decisions clearly. Who You Are: 5+ years of experience in data science, machine learning, or applied AI, with evidence of delivering high-impact production ML systems. Strong software engineering skills in Python, with extensive experience using scientific computing and ML libraries such as NumPy, pandas, S
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