Senior Machine Learning Systems Engineer, Ads ML Experience Platform

🔥 13 hours ago

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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.

🎯 Requirements

• 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 development and iteration cycles at scale is a plus

🏖️ Benefits

• medical, dental, and vision insurance • 401(k) program with employer match • generous time off for vacation • parental leave