Machine Learning Engineer III
Core
Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for fraud and anti-cheat machine learning systems.
Role type
Senior individual contributor machine learning engineer (data infrastructure)
Builds
Production data and machine learning infrastructure, including batch and near-real-time processing, feature generation, training workflows, and inference pipelines
Domain
Fraud detection and anti-cheat systems
Deliverable
production ML models
Required skills
Python, SQL, Rust, Docker, Kubernetes, CI/CD, GitLab, Terraform, Spark
Preferred skills
Rust
Technologies
AWS, GCP, Spark, Docker, Kubernetes, GitLab, Terraform
Responsibilities
Design and maintain scalable data ingestion, transformation, and feature pipelines; Own production data and ML infrastructure; Partner with data scientists to productionize models; Contribute to architectural standards and platform design decisions
Seniority
Senior, hands-on IC
