We are seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape.

The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis.

Key Responsibilities:
Conduct in-depth Android malware research and reverse engineering.
Detect and document emerging Android malware trends and attack vectors.
Analyze Android applications for malicious behavior.
Write detection rules and develop automation processes for Android malware identification.
Collaborate with team members and share knowledge across departments.
Perform static and dynamic analysis of Android malware samples.
Document findings and contribute to threat intelligence reports.

we are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development. The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends. We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.


Hybrid:
No

We are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development.

The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends.

We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.

in this role, you will be shaping the future of security automation, working with product experts and exploring the latest artificial intelligence (ai) advancements.the google cloud ai research team addresses ai challenges motivated by google clouds mission of bringing ai to tech, healthcare, finance, retail and many other industries. we work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in ai and share findings with the broader research community. we also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
responsibilities
design and implement model context protocol (mcp) tools for security operations (secops) to support different ai security agents.
integrate ai models over vertex ai and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
develop backend in ASP.NET core or Python. design and develop the backend services that will be used to power the ai models.
design and develop core components of the ai chat infrastructure using go. build scalable and reliable services for managing Real-Time communication, managing user sessions, and integrating with ai models.
research and identify new ai technologies and techniques that can be applied to improve the secops security orchestration, automation, and response (soar) platform.