Adobe · 2 weeks ago
Sr Applied AI/ML Engineer, Product Security Engineering
Adobe is a company dedicated to changing the world through digital experiences. They are seeking a proficient Machine Learning Engineer to enhance their Web Application Firewall capabilities by developing and implementing machine learning models and analytical systems to improve security against web threats.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
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
Qualification
Required
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
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Recent News
2026-01-09
2026-01-08
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