Hiring: Senior Machine Learning Systems Engineer, Ads ML Experience Platform Company: Reddit, Inc. Location: New York, NY Job Posted Time: 2026-09-02 18:05:23 Target Skills & Keywords : Airflow, Cargo, Compliance, Flink, Kubeflow, Machine Learning, Rust, Spark About the job Experience: •5+ years in infrastructure/platform engineering or large-scale distributed systems. •2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling. Required Skills: •Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows. •Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining. •Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility. •Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency. •Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation. •Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure. •What You Bring •5+ years in infrastructure/platform engineering or large-scale distributed systems. •2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling. •Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks. •Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies. •Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks. •Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks. •Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus •Experience running end-to-end model devel Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!