CoreWeave

Senior Applied Researcher

CoreWeave

London, England, United Kingdom · Full Time

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Experience
5+ yrs
Salary
Openings
1
Posted
4 days ago
Work mode
In office
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Job description

About CoreWeave

CoreWeave, recognized as The Essential Cloud for AI™, provides a cutting-edge platform combining advanced technology, expert teams, and tools designed to empower AI pioneers in building and scaling innovations confidently. Established in 2017 and publicly listed on Nasdaq (CRWV) since March 2025, CoreWeave serves leading AI labs, startups, and global enterprises by delivering superior infrastructure coupled with deep technical know-how to accelerate breakthroughs.

CoreWeave is also a Living Wage accredited employer, fostering a workplace culture that values diversity and inclusion.

Role Overview

The Monolith team at CoreWeave merges advanced cloud infrastructure expertise with applied data science to create transformative AI solutions for complex physical engineering challenges, including automotive systems, aviation, and advanced battery development.

As a Senior Applied Researcher, you will be responsible for fully managing sophisticated machine learning projects within the Physical AI domain. This role requires a technically strong generalist who can handle all phases from conceptual problem definition and experimentation to deployment and continuous operational support.

You will collaborate closely with engineering, product, and client-facing teams to transform state-of-the-art machine learning techniques into dependable production-grade solutions for real customer environments. This position demands a balance of deep research proficiency and practical delivery skills, as well as the ability to effectively align stakeholders, identify risks or limitations, and communicate technical decisions clearly.

Key Responsibilities

  • Lead end-to-end machine learning projects in the Physical AI sector, encompassing problem framing, experimentation, deployment, and sustained support.
  • Collaborate cross-functionally with engineering, product management, and client-oriented teams to integrate advanced ML methods into trustworthy production systems.
  • Provide clear explanations of technical decisions and limitations to diverse audiences including technical and non-technical stakeholders.

Essential Qualifications and Experience

  • At least 5 years of proven experience in data science, machine learning, or applied AI, with a track record of delivering impactful production ML systems.
  • Strong proficiency in software engineering using Python, and comprehensive knowledge of scientific computing and ML libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, and TensorFlow.
  • Hands-on experience deploying and maintaining ML models in production environments, particularly on cloud platforms.
  • Solid foundation in statistical modeling, machine learning experimentation, and evaluation methodologies.
  • Expertise in working with time-series data, high-dimensional datasets, and imperfect real-world data.
  • A high degree of technical curiosity with a commitment to staying updated with evolving ML and AI research.
  • Ability to work effectively with multi-disciplinary teams and communicate complex technical topics clearly.

Preferred Attributes

  • Academic or professional background in engineering, physics, chemistry, or similar STEM fields related to complex physical systems.
  • Experience with anomaly detection, optimization, reliability-focused modeling, or comparable methods within industrial applications.
  • Familiarity with autonomous systems or agent-based models.
  • Knowledge of MLOps, model monitoring techniques, and compute-efficient practices.
  • Experience handling sparse, noisy, or imperfect data collected from laboratory, heavy industry, or applied research environments.
  • Proven ability to collaborate closely with deployed or customer-facing teams to operationalize advanced machine learning methods.

Core Values and Culture

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

CoreWeave supports an entrepreneurial culture emphasizing independent thought and collaboration, driving innovative solutions in a dynamic and growth-focused environment.

Compensation and Benefits

The base salary is aligned with your skills, experience, and the market location. Beyond the base pay, the compensation package includes a discretionary bonus, equity awards, and a broad benefits program subject to eligibility.

  • Family-level Medical Insurance
  • Family-level Dental Insurance
  • Generous Pension Contributions
  • Life Assurance equal to four times salary
  • Critical Illness Coverage
  • Employee Assistance Program
  • Tuition Reimbursement
  • A stimulating work environment focusing on innovation and disruption

Additional Information

Employment is subject to a satisfactory criminal record check conducted in compliance with GDPR due to the nature of the work involving sensitive client information.

Recruitment agencies should note that unsolicited CVs will not be accepted and will be treated as free gifts without compensation.

This role requires potential access to export-controlled data; applicants must meet U.S. person criteria or be eligible to receive export authorization. CoreWeave reserves the right to decline participation in export licensing processes.

Privacy Notice

Applicants' personal data will be collected and processed to manage recruitment activities in compliance with GDPR and UK GDPR. Data is retained as necessary to assess applications and may be shared with service providers managing the recruitment process. Applicants have rights to access, correct, or restrict their data, and may lodge complaints with relevant authorities.

Level

Senior

How they work

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