Sr Machine Learning Engineer, WAF Detection at Adobe

Seattle, Washington, United States

Adobe Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, CybersecurityIndustries

Requirements

  • 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

Responsibilities

  • 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

Skills

Machine Learning
Databricks
WAF
OWASP Top 10
Microservices
Feature Engineering
Model Training
Cloud Native
Real-time Data Processing
DDoS Mitigation
Bot Detection

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters
1994Year Founded
$668.9MTotal Funding
IPOCompany Stage
Consumer Software, Enterprise Software, DesignIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.
Open-source alternatives may attract users away from Adobe's subscription model.
Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.
Adobe's subscription model includes special pricing for students, teachers, and businesses.
Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.
Remote work boosts demand for Adobe's cloud-based document management solutions.
AR's popularity in marketing benefits Adobe's 3D and AR tools.

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