Sr. Staff Security Researcher (PhD)

RippleMatch Inc.; Santa Clara (CA); On-site; USD 185,000 - 285,000; Full time

Job summary

RippleMatch Inc. is seeking a Sr. Staff Security Researcher to develop and refine security content powering next-generation products.

You will build AI-driven automation to gather real-time threat intel, leveraging ML capabilities to detect threats and build robust prevention at global scale. Deep AI knowledge and practical expertise are imperative as you collaborate with experienced researchers to analyze adversarial activities and implement proactive protections in a Cloud-Delivered Security

Qualifications

• PhD with 8+ years experience or Master’s with 12+ years or Bachelor’s with 15+ years.
• Basic understanding of malware types and vulnerabilities.
• Proficiency with AI coding tools or AI-DLC concepts.
• Proficiency in Python or Go.
• Experience with ML/GenAI techniques and tools.
• Familiarity with HTTP, SMTP, FTP.
• Exposure to malware analysis and CTF exercises.
• Traffic analysis and reverse engineering tools.

Responsibilities

• Learn about next-generation firewalls and their role in network security.
• Build and improve automation systems for data collection and processing.
• Apply AI/ML methods to analyze real network traffic to detect, analyze, and mitigate threats.
• Research network security countermeasures for identifying and mitigating cyber attacks.
• Collaborate with security researchers to analyze adversarial activities and implement proactive protections.

Skills

AI/ML expertise

Python

Go

Malware analysis

Network security

Threat intelligence

Data processing

Education

PhD in a relevant field

Master's degree

Bachelor's degree

Tools

TensorFlow

PyTorch

Scikit-Learn

Pandas

NumPy

Keras

Hugging Face Transformers

Wireshark

tcpdump

Reverse engineering tools

Job description

Sr. Staff Security Researcher (PhD)

The Team

Engineering - Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Job Summary

As a Security Researcher on our Cloud-Delivered Security Services team, you will play a critical role in developing and refining security content that powers our next-generation products. Deep AI knowledge and practical expertise are imperative in this role, as you will build, optimize, and leverage AI-driven automation systems to gather and process real-time threat intelligence. Collaborating with experienced security researchers, you will harness advanced machine learning and AI capabilities to analyze emerging threats, detect sophisticated malware, and build robust prevention solutions at global scale.

Key Responsibilities

• Learn about next-generation firewalls and their role in network security.
• Build and improve automation systems for data collection and processing.
• Apply AI/ML methods to analyze real network traffic to detect, analyze, and mitigate threats.
• Research network security countermeasures for identifying and mitigating cyber attacks.
• Collaborate with security researchers to analyze adversarial activities and implement proactive protections.

Required Qualifications

• PhD in a relevant field with 8 years of experience, or a Master's degree with 12 years of experience, or a Bachelor's degree with 15 years of experience.
• Basic understanding of malware types (e.g., Spyware, Ransomware, Exploits) and popular vulnerabilities (e.g., command injection, buffer overflow).
• Proficiency with AI coding tools or concepts of AI-DLC.
• Proficiency in at least one programming language such as Python or Go.

• Experience with ML/GenAI techniques (e.g., anomaly detection, deep learning, NLP) and tools (e.g., TensorFlow, PyTorch, Scikit-Learn, Pandas, NumPy, Keras, Hugging Face Transformers).
• Familiarity with key network protocols (e.g., HTTP, SMTP, FTP).
• Exposure to malware analysis and Capture-the-Flag (CTF) exercises.
• Experience with traffic analysis tools (e.g., Wireshark, tcpdump) and reverse engineering tools.