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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
- 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:
- 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
In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
