Principal Machine Learning Engineer
AppGateNew York, New York, United States
Posted October 16, 2025
220000 - 265000 USD year
Full Time
About the Company
AppGate delivers high‑performance Zero Trust Network Access (ZTNA) solutions that secure an organization’s critical assets. Their direct‑routed architecture provides peak performance, superior protection, and seamless interoperability across enterprise and government environments. In addition to ZTNA, AppGate offers Cyber Advisory services that harden security posture and ensure business continuity. The company distinguishes itself by being the only direct‑routed ZTNA platform built for maximum efficiency and by combining technology with expert advisory to protect enterprises worldwide.
Job Description
We are seeking an exceptional Principal Machine Learning Engineer to lead the design and development of the next generation of our AI-driven fraud detection platform.
Requirements
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis.
- Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage modern AI techniques, including generative AI, to improve fraud pattern discovery and model robustness.
- Design and implement real-time decision systems, integrating with transaction or behavioral data streams.
- Collaborate closely with engineering, security, and risk teams to define data strategy and labeling frameworks.
- Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases.
- Promote engineering excellence — automation, CI/CD, reproducibility, observability, and model governance.
- Mentor and guide ML and software engineers, fostering best practices and innovation.
Benefits
- Competitive salary
- Bonus
