Principal AI Research Cybersecurity Scientist

Location: San Francisco, USA; full-time, onsite role.

Company

hirify.global is a trust, safety, and security company providing AI lifecycle protection, including model evaluations, red-teaming, runtime guardrails, and drift detection.

What you will do

• 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.
• Run rapid research cycles from hypotheses and prototypes to experiments and validated findings.
• Identify model limitations, evaluation gaps, and emerging research opportunities.
• Translate complex customer and stakeholder challenges into actionable research outcomes.
• Collaborate with engineering and product teams to turn research findings into practical solutions.

Requirements

• 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, or ACL.
• Advanced Python and PyTorch skills, with experience building and evaluating complex AI systems.
• Ability to independently design, implement, and execute research experiments within short development cycles.
• Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies.
• Strong analytical and communication skills for a fast-paced, customer-driven research environment.

Nice to have

• Experience with frontier AI labs such as OpenAI, Anthropic, or Google DeepMind.
• Experience applying AI to cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations.
• Experience with AI security topics such as LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security.
• Familiarity with CTFs, sandboxed exploitation environments, static and dynamic code analysis, and security testing frameworks.
• Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks.

Culture & Benefits

• Fast-paced research environment with short, high-impact development cycles.
• Close collaboration with customers, technical stakeholders, engineering, and product teams.
• Work focused on safeguarding AI and communicative technologies at global scale.