Senior Machine Learning Engineer, Ads ML Platform

🕒 July 24

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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 data infrastructure supporting large-scale feature and training set computation, transformation, and storage • Develop frameworks for batch and real-time features focused on reliability, scalability, and ease of use • Build feature governance capabilities including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning • Partner with ML engineers to integrate feature engineering workflows into production ML systems • Build systems supporting agentic ML workflows, automated feature discovery, feature quality evaluation, and feature lifecycle management • Drive architecture and technical direction for high-scale ML platform infrastructure powering ads ranking, targeting, and optimization systems • Contribute to observability, performance tuning, reliability engineering, and cost optimization initiatives

🎯 Requirements

• 5+ years in infrastructure/platform engineering or large-scale distributed systems • 2+ years of hands-on experience building or operating ML platform infrastructure and production ML systems • Proficiency with large-scale feature computation frameworks such as Spark, PySpark, or Scala • Expertise in distributed systems, including scaling, partitioning, fault tolerance, and caching • Experience building intelligent automation or agentic workflows for ML systems is a strong plus • Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs including workspace, professional development, and 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 • Possible commission depending on the position offered • Medical, dental, and vision insurance • Interview recording opt-out opportunity • Reasonable accommodations for qualified individuals with disabilities and disabled veterans