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

Perks and Benefits

• Pension Scheme
• Private Medical and Dental Scheme
• Life Assurance, Income Protection
• Workspace benefit for your home office
• Personal & Professional development funds
• Family Planning Support
• Commuter Benefits
• Flexible Vacation & Reddit Global Days Off