Senior Machine Learning Systems Engineer, Ads ML Experience Platform

🕒 August 10

🇺🇸 United States – Remote

💵 $216.7k - $303.4k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

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 for reproducible research, model development, evaluation, and promotion workflows • Develop production-grade training orchestration frameworks for 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 for 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

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Medical, dental, and vision insurance • Interview recording, transcription, and summarization opt-out opportunity • Reasonable accommodations for qualified individuals with disabilities and disabled veterans