Sr Machine Learning Engineer, WAF Detection

Adobe Systems Incorporated-posted 3 months ago
$140,100 - $245,700/Yr
San Jose, CA
5,001-10,000 employees
Publishing Industries
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We are on the lookout for a proficient and forward-thinking Machine Learning Engineer to join our Product Security Engineering organization. This role offers the opportunity to create, innovate, and implement machine learning models and analytical systems that enhance our Web Application Firewall (WAF) capabilities. Your contributions will directly enhance our ability to defend against emerging web threats, resulting in a significant improvement in our security posture.

  • Lead the development and implementation of novel machine learning systems and algorithms to analyze web traffic and generate intelligent WAF rule recommendations.
  • Develop and deploy models that identify and mitigate advanced web-based attacks (e.g., OWASP Top 10 threats, bot attacks, DDoS) based on behavioral patterns.
  • Work with large-scale, real-time data from WAF logs, using platforms like Databricks for data engineering, processing, and analysis for model training and feature engineering.
  • Architect and build cloud-native, scalable microservice infrastructures to support machine learning pipelines, ensuring high-performance and low-latency operation.
  • Partner with security engineers, product managers, and development teams to understand security challenges, translate them into machine learning problems, and integrate solutions into our core products.
  • Stay current with the latest research in machine learning and cybersecurity, driving the development of new, patent-worthy applications for threat detection.
  • Take ownership of projects from initial prioritization and requirements gathering to implementation, testing, deployment, and ongoing maintenance.
  • Experience in a software engineering or machine learning role within a cloud security or cybersecurity context.
  • Proven ability in crafting and deploying machine learning models, algorithms, and analytical systems, particularly tailored for security-related purposes.
  • Strong programming skills in Python and/or Go.
  • Hands-on experience with cloud providers such as AWS and/or GCP, including familiarity with services like EC2, S3, Kubernetes, and serverless functions.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform.
  • Experience working with data platforms, such as Databricks, for data processing and analysis.
  • Familiarity with log aggregation and analysis platforms like Splunk.
  • Strong understanding of web technologies, including WAFs, CDNs, and DDoS mitigation.
  • Excellent problem-solving skills and a strong interest in developing algorithms and heuristics.
  • Strong knowledge of machine learning algorithms, statistics, and predictive modeling.
  • Experience with machine learning operations (MLOps) and productionization of ML models.
  • Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to answer business questions and assess system efficacy.
  • Ability to communicate complex technical ideas in a clear, non-technical manner.
  • Compensation reflects the cost of labor across several U.S. geographic markets.
  • Pay range for this position is $140,100 -- $245,700 annually.
  • Short-term incentives in the form of the Annual Incentive Plan (AIP).
  • Certain roles may be eligible for long-term incentives in the form of a new hire equity award.
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