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Sr Staff Machine Learning Engineer (Web Security)

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Palo Alto Networks

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Location:
United States , Santa Clara

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Contract Type:
Not provided

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Salary:

141000.00 - 228075.00 USD / Year

Job Description:

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
  • Past experience on open source projects
What we offer:
  • restricted stock units
  • bonus

Additional Information:

Job Posted:
April 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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