Machine Learning Engineer 4
Core
Build and deploy deep learning models from scratch to detect fraud, prevent account sharing, and protect user experiences using behavioral foundation models.
Role type
Senior IC machine learning engineer (fraud detection & behavioral modeling)
Builds
In-house behavioral foundation models and production ML systems for fraud prevention
Domain
Cybersecurity / Fraud Detection / Behavioral Analytics
Deliverable
production ML models
Required skills
Deep learning (transformers, attention mechanisms), PyTorch/TensorFlow, large-scale GPU training, feature engineering, MLOps, distributed training strategies
Preferred skills
Fraud detection, anomaly detection, behavioral modeling
Technologies
Databricks, Spark, PyTorch, TensorFlow, GPU infrastructure
Responsibilities
Design custom transformer architectures for long behavioral sequences, manage full model lifecycle from data to deployment, optimize inference performance, implement MLOps practices, mentor junior engineers
Seniority
Senior, hands-on IC
