Applied Scientist

Appgate Inc•New York, NY

53d•Hybrid

About The Position

AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate is the only direct-routed ZTNA solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory services harden your security posture and ensure business continuity. AppGate safeguards enterprises and government agencies worldwide. As we expand our platform, we are building a Data + AI team to unlock the next generation of security solutions ranging from network observability to AI-driven threat detection, insider risk monitoring, and securing emerging Agentic AI systems. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the strategy, architecture, and core products that will define the future of security. The Role We're looking for an Applied AI Scientist who will design, prototype, and operationalize AI systems that make security autonomous, explainable, and resilient. You'll bridge research and production, working on the hardest problems in AI for Security and Security for AI from model robustness to AI agent safety while shaping foundational capabilities across our product line.

Requirements

Ph.D. in Computer Science, Electrical Engineering, or a related field specializing in AI, Machine Learning used in the security domain.
Research Excellence: Publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, USENIX, CCS, IEEE).
Technical Expertise:
Deep understanding of modern ML (LLMs, GNNs, RL, anomaly detection).
Experience applying AI to security, threat intelligence, or autonomous systems.
Strong background in AI safety, robustness, or trustworthy ML.
Skilled in Python, PyTorch/TensorFlow, and data frameworks for experimentation and deployment.
Mindset: Curious, rigorous, and impact-driven. You enjoy moving from theory to production and thrive at the intersection of AI and real-world security challenges.

Responsibilities

Design AI Security Systems: Develop algorithms and architectures for detection, reasoning, and defense - spanning supervised, unsupervised, and generative AI paradigms.
Prototype & Validate Models: Build and evaluate experimental AI models using real-world security data (network telemetry, identity logs, threat indicators).
Operationalize Research: Collaborate with engineers to take proof-of-concept AI systems from notebooks to production environments.
Advance AI Security Science: Publish and present cutting-edge findings in leading conferences and journals.
Build Foundations for Safe AI: Research and develop methods for model robustness, privacy-preserving learning, and secure deployment of LLMs and agents.
Collaborate Cross-Functionally: Partner with engineers, product teams, and leadership to align AI advancements with AppGate 's strategic vision.

Benefits

Competitive salary, bonus and equity
401k including company match
Full benefits including medical, dental, vision, short and long term disability, and life insurance
Flex time off Policy
Remote Work / Home office setup stipend
Mobile Phone Stipend
Certification assistance program

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