Senior Software Engineer, Ads ML Features Platform

undefined ago • 5 Years + • Devops

Job Summary

Job Description

This role is for a Senior Software Engineer on the Ads ML Features Platform team, focusing on building a scalable feature platform for Ads ML. The team works on projects like batch feature management, impression feature stores, and training set generation, with future plans for streaming features. The engineer will design and build data infrastructure, develop frameworks for features, drive data quality improvements, partner with ML engineers, and contribute to training set generation pipelines, helping to shape the future of the platform.
Must have:
  • 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.
Good to have:
  • Familiarity with ML production systems, especially ML feature platforms.
Perks:
  • 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

Job Details

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

  • 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

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

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