Senior Machine Learning Engineer, Ads ML Platform

Reddit

3h • $216,700 - $303,400 • Hybrid

About The Position

Reddit is building a scalable feature platform that powers Ads ML by making high-quality features and training datasets easy to build, share, and maintain. The team works on projects like batch & realtime feature management platform, training set generation platform, sequence features platform and, agentic and automated ML workflows for feature lifecycle management. They are looking for an engineer with deep experience in building high-scale data infrastructure and ML platforms to help evolve and scale their feature management systems.

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 (Spark, PySpark, or Scala).
• Expertise in distributed systems (scaling, partitioning, fault tolerance, caching).

Nice To Haves

• Experience building intelligent automation or agentic workflows for ML systems is a strong plus, including areas such as automated pipeline management, feature recommendations, evaluation systems, or AI-assisted developer tooling.
• Experience with ML infrastructure and MLOps workflows spanning feature engineering, training pipelines, experimentation, model deployment, and online serving is a plus.

Responsibilities

• Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.
• Develop frameworks for batch and real-time features with a focus on reliability, scalability, and ease of use.
• Build platform capabilities for feature governance, including lineage tracking, validation, drift detection, anomaly monitoring, reproducibility, and versioning.
• Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
• Build systems that support agentic ML workflows, including 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 operational excellence through observability, performance tuning, reliability engineering, and cost optimization initiatives.

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
• commission (depending on the position offered)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed