Software Engineer, Ads ML Features Platform

Requirements:

• 5+ years in infrastructure/platform engineering or large-scale distributed systems.
• 2+ years hands-on experience with SQL-based cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Databricks)
• Proficiency with large-scale feature computation frameworks (Spark, PySpark, or Scala).
• Expertise in distributed systems (scaling, partitioning, fault tolerance, caching).
• Familiarity with ML production systems, especially ML feature platforms, is a big plus
• Knowledge of MLOps workflows – from feature engineering to training to online serving

What You'll Be Doing:

• Design and build data infrastructure that supports large-scale feature computation, transformation, and storage.
• Develop frameworks for batch and event-driven features with a focus on reliability, scalability, and ease of use.
• Drive improvements in data quality and governance through validation, anomaly detection, drift monitoring, and feature lineage tracking.
• Partner with ML engineers to ensure smooth integration of feature engineering workflows into ML production systems.
• Contribute to training set generation pipelines and ensure reproducibility and feature versioning for model development.
• Help shape the future of the platform by exploring streaming feature management and other next-gen capabilities.

Benefits:

• Private Pension plan with Employer-matching
• 100% employer-sponsored group medical plan
• Income Replacement Programs
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days Off