Principal AI Research Cybersecurity Scientist

ActiveFence

. Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems .

Posted 10/18/2026full-timeRemote • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in conducting hands-on research in AI models and systems, with a strong focus on designing and implementing evaluation frameworks and experimental pipelines. Possesses advanced technical skills in Python and PyTorch, along with a deep understanding of LLMs and benchmarking methodologies.

Highest-signal resume keywords

PhD Or MSc In Computer ScienceAdvanced PythonPyTorchResearch Experiment DesignAI For Cybersecurity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI ResearchMachine LearningEvaluation MethodologiesExperimental PipelinesBenchmarkingComplex AI SystemsLLMsFoundation ModelsAdversarial Machine LearningPenetration-Testing Automation

Soft Skills

Analytical SkillsCommunication Skills

Tools & Technologies

Cybersecurity ToolsStatic Code AnalysisDynamic Code AnalysisSecurity Testing FrameworksSandboxed Exploitation Environments

Industry Keywords

NeurIPSICMLICLRACLOpenAIAnthropicGoogle DeepMindCTFsVulnerability ResearchAgentic AI Security

Tech Stack

Tools & technologies

Cyber SecurityPythonPyTorch

About the role

Key responsibilities & impact

Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems
Design, implement, and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines
Execute short, high-impact research cycles, rapidly moving from hypotheses to experiments, prototypes, and validated findings
Identify model limitations, evaluation gaps, and emerging research opportunities
Work directly with customers and technical stakeholders to translate complex challenges into actionable research
Collaborate with engineering and product teams to turn research findings into practical solutions

Requirements

What you’ll need

PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience
Strong publication record at leading AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, or equivalent venues
Exceptional hands-on technical capabilities, including advanced Python, PyTorch, and experience building and evaluating complex AI systems
Proven ability to independently design, implement, and execute research experiments within short development cycles
Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies
Experience with frontier AI labs such as OpenAI, Anthropic, or Google DeepMind is a strong advantage
Strong analytical and communication skills, with the ability to operate effectively in a fast-paced, customer-driven research environment
Preferred: Experience with AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations
Preferred: Experience with Security of AI, including LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security
Preferred: Familiarity with cybersecurity tools and environments such as CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks
Preferred: Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks