AI Research Scientist (Remote) (Cybersecurity)

Location: USA - Remote

Salary: $140,000–$215,000 per year, plus eligibility for bonuses and equity grants.

Company

Cybersecurity company protecting organizations with an AI-native platform that processes nearly a trillion behavioral events per day.

What you will do

• Build the next generation of agentic systems for cybersecurity using machine learning, big data, and threat research.
• Train and post-train LLMs and agents using supervised fine-tuning, reinforcement learning, reward modeling, and policy optimization.
• Design agent workflows with planning and reasoning loops, tool and function calling, retrieval, and memory.
• Research agentic planning methods and prototype approaches from current machine learning literature.
• Develop rigorous benchmarks, LLM-as-judge pipelines, and trajectory-level metrics for agentic systems.
• Collaborate with Engineering, Data Science, and Managed Services teams to take prototypes toward production.

Requirements

• Strong foundations in machine learning, probability, statistics, uncertainty, and experimental design.
• PhD-level mastery of modern machine learning research or equivalent expertise, including the ability to implement and improve research papers.
• Experience training generative models and strong knowledge of LLM architecture, optimization, tokenization, data, and scaling behavior.
• Core experience with reinforcement learning and post-training, including RLHF/RLAIF, PPO/GRPO/DPO, reward modeling, and RL environments.
• Experience building agentic systems, prompt optimization, and LLM evaluations.
• Fluency with GPUs, PyTorch, Python, and common LLM training and serving tools such as Hugging Face Transformers, TRL, PEFT, DeepSpeed, FSDP, vLLM, TGI, or SGLang.

Nice to have

• Experience with synthetic data, agent trajectories, rollouts, and task simulators.
• Familiarity with inference-time scaling, test-time compute, search, self-consistency, and verifier-guided decoding.
• Experience with agent safety, guardrails, sandboxing, jailbreak resistance, interpretability, and failure analysis.
• Open-source contributions, strong technical writing, or cybersecurity experience.

Culture & Benefits

• Flexible and autonomous work environment with a focus on responsible AI adoption, experimentation, and innovation.
• Health and wellness programs covering physical and mental well-being.
• Competitive vacation, holidays, and paid parental and adoption leave.
• Professional development opportunities, employee networks, geographic groups, and volunteer programs.
• Compensation package including bonuses, equity grants, health insurance, 401(k), and paid time off.