Sr Machine Learning Engineer, WAF Detection at Adobe

Seattle, Washington, United States

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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

Key technologies and capabilities for this role

Machine LearningDatabricksWAFOWASP Top 10MicroservicesFeature EngineeringModel TrainingCloud NativeReal-time Data ProcessingDDoS MitigationBot Detection

Questions & Answers

Common questions about this position

What programming skills are required for this role?

Strong programming skills in Python and/or Go are required.

What cloud and infrastructure experience is needed?

Hands-on experience with cloud providers such as AWS and/or GCP, including services like EC2, S3, Kubernetes, and serverless functions, plus proficiency with Docker, Kubernetes, and Infrastructure as Code (IaC) tools.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience makes a strong candidate for this position?

Candidates with experience in software engineering or machine learning in cloud security or cybersecurity, proven ability in crafting and deploying ML models for security, and the listed technical skills will stand out.

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