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Sr Staff Machine Learning Engineer (Web Security)

LinkedIn Jobs via Dice Santa Clara, CA
Not Applicable Posted April 4, 2026 Job link
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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
  • Knowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable is a plus
  • Must have MS/PhD or 2+ years of relevant industry experience or equivalent military experience required
  • Strong research, communication and presentational skills
Preferred Skills
  • Strong Web Security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spam
  • 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
  • Hands-on experience in applying Machine Learning within the domain of Web Security and building detection models
  • 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
  • Strong programming skills in Python and Shell scripting
  • 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 Google Cloud Platform, AWS, Azure is a plus
  • Must have MS/PhD or 2+ years of relevant industry experience or equivalent military experience required
  • Strong research, communication and presentational skills
  • Past work experience in early-stage, fast-growth startups is a plus
  • Past experience on open source projects is a plus
Education
  • (Required) – Must have MS/PhD or 2+ years of relevant industry experience or equivalent military experience required