Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Contributing to research and technical strategy for the Threat Modelling team, advancing state-of-the-art in Threat Modeling and Adversarial Defense for an advertising ecosystem. With an accent on transitioning trust mechanisms from static verification to dynamic, behavioral-based integrity systems to detect and neutralize high-complexity fraud vectors. Focus on architecting solutions against phishing, payment fraud, cloaking, malware distribution, token misuse, and authentication to ensure platform safety, with robust identification and mitigation of advanced abuse vectors.

Location: Onsite in Bengaluru, India

Company

hirify.global is involved in the advertising ecosystem, focusing on trust and safety.

What you will do

• Develop and maintain comprehensive adversarial frameworks to map the lifecycle of emerging threats.
• Advance continuous, signal-based security protocols, including behavioral biometrics and Proof of Liveness models.
• Proactively identify vulnerabilities through red-teaming and exploratory data analysis.
• Drive the technical roadmap for integrity and security, mentoring senior engineers and influencing stakeholders.

Requirements

• Bachelor’s, Master’s, or PhD degree in Computer Science, Cybersecurity, Mathematics, or a related field, with 10+ years of related experience.
• Deep technical expertise in Cybersecurity, Anti-Abuse, or Adversarial Machine Learning.
• Strong programming skills in C++ or Python, with experience in building production-quality security or ML systems.
• Hands-on experience in one or more of Web Security standards and Authentication Protocols (OAuth, OIDC), Malware analysis, de-obfuscation/reverse engineering, or building fraud detection models at scale.
• Proven ability to design and implement defense mechanisms against complex abuse vectors.
• Strong communication and collaboration skills, with experience articulating complex security risks to business and product leadership.

Nice to have

• 5+ years of experience in an Adversarial/Trust & Safety role at a major internet platform or cybersecurity firm.
• Familiarity with the Ad-Tech stack (RTB, OpenRTB) and associated fraud incentives.
• Background in Graph Neural Networks (GNNs) for fraud ring detection or behavioral biometrics.
• Track record of impact via security research publications, patents, or contributions to industry security standards.

Culture & Benefits

• Microsoft is an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to various protected characteristics.
• Assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.