Adobe is looking for a Machine Learning Engineer to enhance its Web Application Firewall (WAF) capabilities by developing and implementing machine learning models and analytical systems to defend against emerging web threats.
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.
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.
Other
- Ability to communicate complex technical ideas in a clear, non-technical manner.
- Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
- Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
- If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
