Principal Applied AI Scientist

Principal Applied AI Scientist

Stanton House has partnered with a cybersecurity company that is redefining how organizations secure their most critical assets. This company is at the forefront of Zero Trust Network Access and Cyber Advisory Services, delivering high-performance, secure, and interoperable solutions to enterprises and government agencies worldwide.

As part of their continued growth, they are building a cutting-edge Data & AI team to drive the next wave of innovation in cybersecurity - from advanced network observability to AI-driven threat detection, insider risk analysis, and the protection of emerging autonomous AI systems.

This is a unique opportunity to join a high-impact, agile team where your work will directly influence the strategic direction and core technologies of the company. You'll be instrumental in designing and deploying AI systems that make cybersecurity more autonomous, explainable, and resilient.

Key Responsibilities:

• Design AI-Driven Security Solutions: Develop algorithms and architectures for detection, reasoning, and defense using supervised, unsupervised, and generative AI.
• Prototype & Evaluate Models: Build and test AI models using real-world security data such as network telemetry, identity logs, and threat indicators.
• Deploy AI in Production: Collaborate with engineering teams to transition prototypes into scalable, production-ready systems.
• Advance Research: Contribute to the broader AI security community through publications and presentations at top-tier conferences.
• Champion Safe AI Practices: Innovate in areas like model robustness, privacy-preserving learning, and secure deployment of LLMs and autonomous agents.
• Cross-Functional Collaboration: Work closely with product, engineering, and leadership teams to align AI initiatives with business goals.

Ideal Candidate Profile:

• Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML in cybersecurity.
• Strong publication record in leading conferences (e.g., NeurIPS, ICML, ICLR, USENIX, CCS).
• Deep expertise in modern ML techniques (LLMs, GNNs, RL, anomaly detection).
• Experience applying AI to security, threat intelligence, or autonomous systems.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Passionate about AI safety, robustness, and trustworthy machine learning.
• Curious, rigorous, and impact-driven mindset.

Why Join?

• High Impact: Your work will directly shape product direction and company success.
• Collaborative Culture: Join a team of world-class engineers and security experts.
• Innovative Domain: Be at the forefront of securing the AI era.
• Career Growth: Influence best practices, shape team culture, and grow into leadership roles.
• Flexible Work: NYC-based with hybrid work options.
• Comprehensive Benefits: Competitive salary, bonus, equity, 401k with match, full health coverage, remote work support, and more.