Senior Machine Learning Engineer, User Behavior
Core
Building proactive detection and behavioral intelligence systems to identify users at risk of becoming chronic violators and powering adaptive consequence systems for early, education-first intervention.
Role type
Senior IC machine learning engineer (user behavior & safety)
Builds
User-level behavioral intelligence capability, feature stores, training pipelines, and production ML models for risk detection.
Domain
Online gaming platform safety & user behavior modeling
Deliverable
production ML models
Required skills
ML classification at scale, sequence modeling on user-event data, LLM-based approaches, feature store design, embedding-based retrieval systems (ANN/vector search), end-to-end ML pipeline operations, causal inference fundamentals, model evaluation under real-world constraints
Preferred skills
Trust & Safety domain experience, user behavior modeling, uplift/causal ML, sequence models on user-event data
Technologies
LLMs, ANN, vector search, feature stores, A/B testing infrastructure
Responsibilities
Define multi-year ML vision and architectural strategy for behavioral risk detection; Develop and maintain production ML models translating behavioral signals into risk intelligence; Design user feature stores, training pipelines, and model evaluation infrastructure; Instrument experiments for causal validity with proper random assignment; Build datasets and labeling pipelines from scratch; Own end-to-end delivery integrating models into the production stack
Seniority
Senior, hands-on IC with strategic ownership
