AI Research Scientist, Agentic Systems (Remote)

Crowdstrke
United States
Workplace: RemoteFull timeUSD 120,000 - 180,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Independence","Problem-solving","Critical thinking"]

Data Scientist to advance agentic AI systems for cybersecurity, training models on one-of-a-kind cybersecurity data, developing AI agents, RL and LM tooling, and driving production-ready prototypes while collaborating with Engineering and Data Science teams.

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Crowdstrke
Crowdstrke
3 months ago

AI Research Scientist, Agentic Systems (Remote)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 24 days agoStatus: Live

Job Summary

Data Scientist to advance agentic AI systems for cybersecurity, training models on one-of-a-kind cybersecurity data, developing AI agents, RL and LM tooling, and driving production-ready prototypes while collaborating with Engineering and Data Science teams.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Work at the intersection of Artificial Intelligence and Threat Research.
  • •Collaborate with cybersecurity subject-matter experts to understand analyst workflows and security operations procedures.
  • •Post-train LLMs and agents using supervised fine-tuning and RLHF/RLAIF, with emphasis on policy optimization and reward modeling.
  • •Design AI agents and assemble complex workflows including planning, tool calls, retrieval and memory.
  • •Research agentic planning, prototype state-of-the-art methods, and establish robust evaluation metrics.

Pay and Benefits

Salary: USD 120,000 - 180,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveEquity

Key Requirements

  • •Excellent foundations in machine learning, probability, and statistics with strong experimental design instincts
  • •PhD-level depth of understanding in modern machine learning research (equivalent mastery acceptable)
  • •Experience training generative models with a strong command of LLM training fundamentals
  • •Reinforcement learning / post-training: RLHF/RLAIF, PPO/GRPO/DPO, reward modeling, and building RL environments
  • •Experience building agentic systems: agent architectures (ReAct, planning, reflection), tool and function calling, retrieval/memory/context management
Experience:AI/MLCybersecurity
Skills:CommunicationCollaborationIndependenceProblem-solvingCritical thinking
Tech Stack:PythonPyTorchHugging Face TransformersTRLPEFTDeepSpeedVLLM

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn