Applied AI Scientist – Autonomous Defense

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

📋 Description

• Develop reasoning systems that correlate verified attack paths and exploitation telemetry to relevant control modifications.

• Assess control modifications based on their effectiveness and operational impact.

• Transform penetration test data into training and assessment datasets.

• Analyze the reasons behind the success or failure of attacks across different environments.

• Create and conduct counterfactual experiments in representative test settings.

• Construct reasoning layers that integrate diverse vendor control planes and APIs.

• Design safety architecture for autonomous modifications, encompassing simulation, blast-radius classification, approval processes, staged rollouts, rollbacks, and audit trails.

• Collaborate with attack and detection engineers to establish agent behavior and troubleshoot failure modes.

• Take ownership of challenges from inception to completion in a 0→1 environment.

⛳️ Requirements

• Extensive experience in ML engineering focused on building, evaluating, and deploying production-grade AI systems.

• Proficient in deep learning, transformer models, and PyTorch through hands-on experience.

• Practical experience with post-training large language models or agentic systems that utilize tools, planning, and long-term execution.

• Proven history of developing evaluation systems for open-ended tasks assessed by their outcomes.

• Experience in reasoning over configurations, graphs, logs, and policy documents.

• Solid software engineering fundamentals with a background in delivering production-quality Python code.

• Familiarity with data pipelines, distributed systems, and cloud infrastructure, preferably AWS.

• Capability to work across model behavior, APIs, and infrastructure.

• Ability to independently investigate unfamiliar systems.

• Excellent written and verbal communication skills along with strong technical documentation abilities.

• A Master’s degree in Computer Science, Machine Learning, or a related discipline, or equivalent hands-on experience.

• At least 4 years of professional engineering experience.

• A keen interest in understanding the operations of attackers and defenders, along with a willingness to learn about the domain.

🏝️ Benefits

• Equity package in the form of stock options for all full-time positions.

• Health, vision, and dental insurance for you and your family.

• Flexible vacation policy.

• Generous parental leave.

• Opportunities for career development.

• An inclusive and collaborative workplace culture.

• Remote and hybrid work arrangements available based on role and location.