Data Scientist - Gen AI (remote)

CrowdStrike CrowdStrike · Enterprise · Spain, United Kingdom · Remote

CrowdStrike is seeking an Applied Researcher to lead research strategy for applying AI (LLMs, deep learning) to cybersecurity. The role involves driving innovation in AI applications, making strategic decisions on GenAI models, implementing research into production, and mentoring teams. Access to proprietary datasets and significant GPU infrastructure is provided. The role emphasizes both research depth and real-world impact, with opportunities for publication and large-scale deployment.

What you'd actually do

  1. Lead and architect the research strategy for applying AI to cybersecurity.
  2. Drive innovation in AI applications, including novel approaches to reasoning, summarisation, and interactivity
  3. Make strategic decisions about GenAI model architectures, training approaches, and deployment strategies
  4. Implement cutting edge ML/AI research in the context of cybersecurity
  5. Build production ready AI systems that operate at CrowdStrike’s massive scale.

Skills

Required

  • Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field
  • 5+ years of applied machine learning / research experience
  • Deep expertise in LLM and deep learning training and deployment at scale
  • Strong technical leadership experience, including mentoring teams and driving technical strategy
  • Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies
  • Expert-level understanding of GPU technologies and optimisation techniques
  • Outstanding communication skills with ability to influence senior stakeholders

Nice to have

  • Strong research portfolio with publications in leading AI journals and conferences
  • Experience with cybersecurity applications of machine learning
  • Track record of successful research-to-production implementations at scale
  • History of contributions to open-source ML projects

What the JD emphasized

  • demonstrated leadership in developing production-grade models
  • Deep expertise in LLM and deep learning training and deployment at scale
  • Track record of solving complex technical challenges at scale

Other signals

  • LLM training initiatives
  • deploying innovations at scale
  • applying AI to cybersecurity
  • next-generation AI