Data Scientist (Agentic Systems)

TL;DR

Data Scientist (Agentic Systems): Building and optimizing next-generation agentic systems for cybersecurity with an accent on LLM post-training, reinforcement learning, and complex agent workflows. Focus on designing benchmarking evals, improving model reliability, and integrating AI agents into real-world security operations.

Location: Must be based in the USA

Salary: $120,000–$180,000 per year

Company

A global leader in cybersecurity providing an AI-native platform to stop breaches and protect modern organizations.

What you will do

• Post-train LLMs and agents using supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO) to automate security analyst procedures.
• Devise AI agents and complex workflows including planning loops, tool calling, and memory management.
• Establish objective criteria for benchmarking agentic systems using LLM-as-judge pipelines and statistical rigor.
• Collaborate with Engineering, Data Science, and Managed Services teams to transition research prototypes into production.
• Optimize prompts and inference performance to maximize model utility.
• Research and prototype state-of-the-art methods in agentic planning and reasoning.

Requirements

• Must be based in the USA
• PhD-level depth of understanding in modern machine learning research and experimental design.
• Strong command of LLM training fundamentals including architecture, optimization, and scaling behavior.
• Core skills in reinforcement learning and policy optimization (PPO/GRPO/DPO).
• Experience building agentic systems with architectures like ReAct, planning, and retrieval.
• Fluency with Python, PyTorch, and LLM training/serving stacks like Hugging Face, DeepSpeed, and vLLM.

Nice to have

• Experience with synthetic data generation and task simulators.
• Familiarity with inference-time scaling and verifier-guided decoding.
• Knowledge of agent safety, guardrails, and failure analysis.
• Background in cybersecurity or passion for applying ML to the security domain.

Culture & Benefits

• Market-leading compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holiday policies.
• Paid parental and adoption leaves.
• Professional development opportunities and vibrant office culture.