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Required Security Researcher
Position Overview:
Join our Forensic Research Group and take part in uncovering hidden data across mobile applications and cloud ecosystems. The team identifies, analyzes, and extracts forensic artifacts from mobile apps, APIs, cloud services, and raw binary data.
Research areas include protocol analysis, data extraction, file format reverse engineering, and decryption. The team specializes in black-box reverse engineering and advanced mobile analysis across Android and iOS.
You will investigate how mobile applications interact with cloud services and APIs, uncover hidden data flows, and extract forensic artifacts. Your work will include analyzing network traffic, reverse engineering API communication, and understanding data exchange between mobile apps and backend systems. You will conduct research across mobile platforms and cloud environments, reverse engineer protocols and data formats, and develop production-grade code in C# and Python to support large-scale data extraction and analysis, while maintaining internal parsers and research infrastructure.

We are seeking a AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how we secure AI applications.
Responsibilities
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks
We encourage you to apply if you
Are passionate about exploring the field of AI security
Are a seasoned security researcher who enjoys both red team and blue team work: performing threat analysis, discovering new attack vectors, and designing mitigations
Have a strong AI background (well beyond prompt engineering) and a passion for math and algorithms
Learn quickly and thrive in uncharted technical territories
Love to gain, share, and build knowledge.

As a Principal Software Security Engineer, you'll be responsible for delivering offensive security engagements against public-facing and internal products. Youll also be responsible for security auditing of the product stack and researching nuances of securing SaaS platforms. This will require an in-depth knowledge of various approaches to application auditing, including secure code review, debugging, dynamic web application testing, analysis and threat modeling. Youll work closely with product engineering teams to provide investigative reports to improve platform resiliency and ensure best-in-class security solutions.

What you get to do in this role:

Work with diverse business and technology owners
Participate in offensive security engagements including external adversarial emulation.
Perform security audits to discover, communicate, and recommend remediation activities for vulnerabilities
Work with engineering teams on remediation
Create and maintain strategic relationships