AI Research Scientist, Agentic Systems (Remote)

CrowdStrike Inc.

Providence (RI)

Remote

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Market-leading compensation
Equity awards
Wellness programs
Generous vacation/holidays
Parental leave
Professional development
Employee networks

Job summary

CrowdStrike, a global cybersecurity leader, is seeking a Data Scientist to help build the next generation of agentic systems. You will work at the intersection of AI, Threat Research, and cybersecurity across large-scale data.

You will train models, fine-tune agents, and evaluate performance on real security tasks while collaborating with Engineering and Data Science teams. The team processes nearly a trillion events daily.

Qualifications

  • Excellent foundations in machine learning, probability, and statistics.
  • PhD-level depth of understanding in modern machine learning research (not strictly required).
  • Experience training generative models and strong command of LLM training fundamentals.
  • Reinforcement learning / post-training: RLHF/RLAIF, PPO/GRPO/DPO, reward modeling.
  • Experience building agentic systems: architectures, tool calls, memory retrieval.
  • Experience with prompt optimization and evals for LLM systems.
  • Fluency with GPUs, PyTorch, and the LLM stack (Hugging Face, DeepSpeed, vLLM).
  • Strong reproducible research engineering and clean Python code.
  • Ability to work independently on ambiguous objectives and communicate in a large project team.
  • Proven experience applying AI to improve decision-making and workflows.

Responsibilities

  • Work at the intersection of AI and Threat Research.
  • Collaborate with cybersecurity SMEs to understand analyst workflows and procedures.
  • Post-train LLMs and agents to automate analyst tasks.
  • Develop AI agents and complex workflows with planning and memory.
  • Research agentic planning and prototype state-of-the-art methods.
  • Establish benchmarks for agentic systems with rigorous metrics.
  • Optimize prompts and inference for better model performance.
  • Collaborate with Engineering, Data Science, and Managed Services to productionize prototypes.
  • Stay updated on AI developments and identify priority research areas.

Skills

ML foundations
Probability & statistics
Experimental design
LLM training fundamentals
Reinforcement learning
Agentic systems
Prompt optimization
Research engineering
Independent work
AI for decision-making

Education

PhD-level ML depth

Tools

Hugging Face Transformers
DeepSpeed
PEFT
vLLM
TRL

Job description

CrowdStrike, a global cybersecurity leader, is seeking a Data Scientist to help build the next generation of agentic systems. You will work at the intersection of AI, Threat Research, and cybersecurity across large-scale data.

You will train models, fine-tune agents, and evaluate performance on real security tasks while collaborating with Engineering and Data Science teams. The team processes nearly a trillion events daily.

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