Sr. AI Scientist - AI Detection and Response (aidr) (hybrid)

CrowdStrike CrowdStrike · Enterprise · Sunnyvale, CA +2

CrowdStrike is seeking an AI Scientist to research, design, and prototype generative AI solutions for cybersecurity, focusing on training and fine-tuning models, and implementing features like RAG and AI Agents. The role requires strong Python and PyTorch skills, experience with LLM concepts, and a track record of publishing and presenting research.

What you'd actually do

  1. Research, design, and prototype cutting-edge generative AI solutions that enhance CrowdStrike's AI Detection and Response capabilities, translating complex AI concepts into practical security features.
  2. Create, curate, and maintain high-quality datasets for training and evaluating deep learning models; establish data collection pipelines, labeling workflows, and quality assurance processes to ensure dataset integrity
  3. Conduct experiments to further the capabilities of existing models.

Skills

Required

  • Generative Models
  • training and fine tuning
  • LLM concepts
  • RAG
  • AI Workflows
  • Agentic AI
  • AI Agents
  • AI Agent Frameworks
  • Python
  • PyTorch
  • white paper publishing
  • speaking at conferences
  • deep technical papers
  • cuda
  • kernels

Nice to have

  • security companies
  • security products
  • Security landscape
  • AI Security
  • AWS

What the JD emphasized

  • Deep understanding of various LLM concepts like RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, A2A is required.
  • expert level knowledge of Python and frameworks like PyTorch.
  • experience in white paper publishing and speaking at conferences as that is expected of the role.
  • Ability to provide detailed design and architecture documents for the feature.
  • The ability to present the problem and describe the solution in easy to understand ways for a larger audience is critical.
  • Ability to measure, report and explain the efficacy characteristics of the solution.
  • Ability to write deep technical papers for internal and external audiences.
  • Ability to speak at internal and external events as needed.
  • Ability to present and explain the feature in the context of the product to the customers as needed.
  • Ability to work at the code layers of models having deep understanding of cuda, kernels, and frameworks like pytorch.
  • 6+ years of combined experience as an ML/AI researcher and practitioner.
  • 3+ years building/prototyping Generative AI features, Training and Fine Tuning AI / Deep learning models.

Other signals

  • Generative AI
  • LLM
  • training and fine tuning
  • security features