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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.
Job Responsibility:
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
Experience with Tensorflow, PyTorch, or Vertex AI
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 have:
Experience with browser and/or email security
Experience with malware traffic analysis, signature mining, sandboxing
Experience with crawling infrastructures and security scanners
Knowledge and experience with modern machine learning technique and algorithms (including NLP and OCR), workflows and pipelines to train and build models
Advanced programming skills in JavaScript and Golang
Experience with developing REST APIs and microservices
Knowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable
Knowledge and experience with Docker and Kubernetes
Experience with cloud computing platforms, such as GCP, AWS, Azure
Past work experience in early-stage, fast-growth startups