Senior Staff ML Systems Engineer at Reddit building indexing and retrieval infrastructure for recommendations. Leads architecture of vector/lexical search systems, batch/stream processing pipelines, and low-latency retrieval services supporting content understanding and GenAI applications.
Team
The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications.
You’ll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you’ll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features.
Languages: Go, Java, Python, or any object oriented programming language
Frameworks: Flink, Airflow, Spark for large scale batch & stream processing
Databases: Familiarity with Vector, Lexical & Key-Value Databases
Tools: Kubernetes, Docker, AWS, GCP
Benefits:
#LI-Remote
Pay Transparency:
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