Sr Staff Security Researcher (Web Security)
About The Position
Your Career The Web Security Research team is responsible for delivering high quality AI powered solutions to prevent successful cyberattacks and protect our customers, with a special focus on malicious and phishing URL detection, browser, network and email security. We are looking for a motivated and creative Security Researcher to join our team to research, design, and develop innovative detection systems, ML models and infrastructure for protecting customers against constantly evolving online threats and attacks. Your Impact Track and research emerging online threats and innovate new AI-powered automated ways to identify malicious indicators used by malicious websites and URLs Leverage data-driven techniques and frontier technologies in ML and AI to build novel detection models for malicious URL detection and blocking Design, develop, test, threat prevention and detection systems to protect enterprise customers around the globe Convert research results and discoveries into real-impact innovative products Implement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performance Work across teams to deliver production-impact projects
Requirements
- Creative thinker and team player with a passion for data-driven security research, and building high quality, complex systems as a part of an incredible research team
- Strong Web Security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spam
- Hands-on experience in applying Machine Learning within the domain of Web Security and building detection models
- Strong engineering skills and ability to fastly learn and adapt to new programming languages and technologies
- Strong programming skills in Python and Shell scripting
- Must have MS/PhD or 2+ years of relevant industry experience or equivalent military experience required
- Strong research, communication and presentational skills
Nice To Haves
- Experience with browser and/or email security is a plus
- Experience with malware traffic analysis, signature mining, sandboxing is a plus
- Experience with crawling infrastructures and security scanners is a plus
- Experience with Tensorflow, PyTorch, or Vertex AI
- Knowledge and experience with modern machine learning technique and algorithms (including NLP and OCR), workflows and pipelines to train and build models is a plus
- Advanced programming skills in JavaScript and Golang is a plus
- Experience with developing REST APIs and microservices is a plus
- Knowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable is a plus
- Knowledge and experience with Docker and Kubernetes is a plus
- Experience with cloud computing platforms, such as GCP, AWS, Azure is a plus
- Past work experience in early-stage, fast-growth startups is a plus
- Past experience on open source projects is a plus
Responsibilities
- Track and research emerging online threats and innovate new AI-powered automated ways to identify malicious indicators used by malicious websites and URLs
- Leverage data-driven techniques and frontier technologies in ML and AI to build novel detection models for malicious URL detection and blocking
- Design, develop, test, threat prevention and detection systems to protect enterprise customers around the globe
- Convert research results and discoveries into real-impact innovative products
- Implement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performance
- Work across teams to deliver production-impact projects
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
