Machine Learning Engineer

You will design and deploy machine learning systems for real-time threat detection and anti-abuse protection, combining ML with security engineering.

Tasks

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference and monitoring
• Architect agentic AI systems for autonomous threat detection and adaptive policy enforcement
• Build tools for model development, debugging and explainability
• Optimize ML workflows for distributed environments handling large-scale data
• Collaborate with security analysts and backend/frontend engineers
• Advance ML techniques for anti-abuse and account security

Profile

• Degree in Computer Science or a related quantitative field
• 2+ years hands-on experience building and running ML systems
• Production-level ML expertise with models at real-world scale
• Hands-on experience with LLMs in agentic environments
• Strong proficiency in Python and backend/server fundamentals
• Deep understanding of probability, hypothesis testing and experimental design

Offer

• 3–6 months interim, then a permanent position

Company

Online security and privacy technology