
Director, AI Security Science
Posted 18 hours ago

Posted 18 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee the research agenda for autonomous agentic AI systems across various cybersecurity applications.
• Establish scientific objectives, influence research initiatives, conduct experiments, analyze outcomes, and tackle challenging issues alongside the team.
• Propel innovative research on effective models for security workflows, encompassing post-training, reward modeling, and data curation.
• Take the lead on experimental projects addressing complex research challenges.
• Create methodologies for evaluation, verification, and validation of models, data, agent designs, and complete systems.
• Develop benchmarks, adversarial evaluation frameworks, and measurement practices.
• Collaborate with security researchers, threat intelligence experts, detection engineers, and product development teams.
• Define abstractions for agent capabilities and tools rooted in security operations.
• Enhance the science of agent design, including harnesses, scaffolding, planning, memory, tool usage, and multi-step reasoning.
• Introduce innovative techniques through publications and adherence to standards.
• Lead teams of scientists and engineers while maintaining an active role in research.
• MS or PhD in computer science, computer engineering, or a related quantitative discipline.
• Over 10 years of experience in data science, ML/DL, or AI with a focus on large-scale data challenges.
• Practical expertise in contemporary LLM post-training methodologies.
• Proven research contributions or experience in developing agentic systems.
• Strong focus on evaluation practices, including designing, enhancing, or validating methodologies.
• Hands-on leadership approach with personal technical input.
• Experience in offensive security, detection engineering, incident response, or applied research in threat intelligence is a plus.
• Familiarity with designing RL environments and synthetic data pipelines for agent tuning is advantageous.
• Experience engaging in regulatory, compliance, or audit discussions regarding AI systems is beneficial.
• A background in mentoring and developing security researchers is a plus.
• Market leader in compensation and equity offerings.
• Comprehensive programs for physical and mental wellness.
• Competitive vacation and holiday policies for rejuvenation.
• Paid parental and adoption leave.
• Opportunities for professional development available to all employees, regardless of level or role.
• Employee Networks, neighborhood groups, and volunteer initiatives to foster connections.
• Dynamic office environment featuring top-notch amenities.
• Health insurance coverage.
• 401k plan.
• Paid time off.
• Bonus eligibility.
• Equity grants.
• Comprehensive benefits package.
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