Machine Learning Engineer III

Responsibilities

• Design, build, and maintain scalable data ingestion, transformation, and feature pipelines for fraud and anti-cheat machine learning systems.
• Own production data and machine learning infrastructure, including batch and near-real-time processing, feature generation, training workflows, and inference pipelines.
• Partner with data scientists to productionize models and ensure consistent, high-quality offline and online feature computation.
• Ensure pipelines are reliable, repeatable, observable, and cloud agnostic across environments.
• Contribute to architectural standards, platform design decisions, and engineering best practices as a senior individual contributor.

Requirements

• At least five years of professional experience in data engineering, machine learning engineering, or a closely related role with production ownership.
• Strong proficiency in Python and SQL with experience building and maintaining large-scale production data pipelines.
• Experience designing and operating data-intensive systems using modern programming languages, including Rust; Rust experience is also listed as a plus.
• Hands-on experience supporting end-to-end machine learning workflows, especially data preparation, feature pipelines, and model deployment infrastructure.
• Experience with cloud environments such as AWS or GCP and large-scale data processing systems.
• Experience with Docker, Kubernetes, CI/CD systems, GitLab, Terraform, and Spark.

Benefits

• Hybrid work model combining remote work and in-office collaboration.
• US benefits include paid time off, sick time, company holidays, parental bonding leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) for regular full-time employees.
• Canada benefits include vacation, sick time, parental and adoption leave top-up, extended health/dental/vision coverage, life insurance, disability insurance, and a retirement plan for regular full-time employees.
• Certain roles may be eligible for bonus and other incentive programs.