Applied ML Engineer
Core
Design, develop, and evaluate AI-driven detection capabilities to identify evolving threats and abuse patterns, transforming research into production solutions that improve customer protection.
Role type
Applied ML Engineer (AI/ML Systems)
Builds
AI-driven detection capabilities, production-ready ML solutions
Domain
Cybersecurity / Fraud Prevention / AI
Deliverable
production ML models
Required skills
LLMs, SLMs, agents, multimodal AI, experimentation design, data-driven decision-making, model behavior analysis, success metric definition
Preferred skills
Publications (patents, peer-reviewed papers), curiosity, learning agility
Technologies
LLMs, SLMs, agents, multimodal models
Responsibilities
Design and develop AI-driven detection capabilities; Partner with research, engineering, and product teams to translate ideas into production solutions; Own experimentation and evaluation processes; Drive deep analysis of model behavior and operational performance
Seniority
Mid-Senior, hands-on IC
