Principal AI Research Cybersecurity Scientist
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Job Description
Principal AI cybersecurity scientist researching frontier models, benchmarks, and security evaluations. Developing practical safeguards for Alice’s AI trust, safety, and security customers.
Responsibilities:
- 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:
- 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
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