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Team Overview
We’re building a scalable feature platform that powers Ads ML by making high-quality features easy to build, share, and maintain. Our small but growing team works on projects like batch feature management, impression feature store, training set generation, and event-driven features—with streaming feature management on the horizon.
We are looking for an engineer with deep experience in building high-scale data infrastructure and ML platforms to help evolve and scale our feature management systems.
What You’ll Do
- 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.
What You Bring
- 3+ 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
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
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