Principal AI Research Cybersecurity Scientist

This is a fully remote position, open to applicants in California.

📋 Description

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

• Design, implement, and refine AI benchmarks, evaluation frameworks, and experimental pipelines.

• Execute short, impactful research cycles, swiftly progressing from hypotheses to experiments, prototypes, and validated outcomes.

• Identify model limitations, evaluation gaps, and emerging research opportunities.

• Collaborate directly with customers and technical stakeholders to convert complex challenges into actionable research.

• Partner with engineering and product teams to transform research findings into practical solutions.

⛳️ Requirements

• PhD or MSc in Computer Science, AI, Machine Learning, or a related discipline, accompanied by significant relevant research experience.

• A strong publication record at prominent AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, or equivalent venues.

• Exceptional hands-on technical skills, including advanced Python, PyTorch, and experience in building and evaluating complex AI systems.

• Demonstrated capacity to independently design, implement, and conduct research experiments within brief development cycles.

• Profound understanding of LLMs, foundation models, benchmarking, and evaluation methodologies.

• Experience with leading AI labs such as OpenAI, Anthropic, or Google DeepMind is a significant advantage.

• Strong analytical and communication skills, with the ability to function effectively in a fast-paced, customer-focused research environment.

• Preferred: Experience in AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations.

• Preferred: Experience in Security of AI, such as LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security.

• Preferred: Familiarity with cybersecurity tools and environments like CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks.

• Preferred: Experience in developing cybersecurity benchmarks or assessing frontier models on intricate security-related tasks.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance plans.

• Opportunities for professional development and continuing education.

• Flexible working hours and remote work options.

• A dynamic and inclusive work environment that fosters innovation.