Senior Staff Machine Learning Systems Engineer, Indexing & Retrieval Search

What You’ll Do

Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications.

Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences.

Define best practices for observability, reliability, and operational excellence in large-scale distributed systems.

Mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles.

Collaborate with infrastructure, and ML teams to ensure the platform evolves to meet the needs of Reddit’s growing user base and diverse content ecosystem.

Who You Might Be

10+ years of experience in software engineering, specializing in Indexing and Retrieval systems.

3+ years in technical leadership, architecting and scaling distributed systems in production environments.

Deep expertise in large-scale data platforms, including batch indexing and stream processing.

Proven experience designing and operating large-scale, low-latency retrieval services.

Expertise in lexical and vector search retrieval technologies, such as Milvus, Vespa, or Elasticsearch.

Skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP.

Adept at translating complex technical challenges into clear, actionable strategies.

Strong communicator and mentor who leads through collaboration, influence, and technical excellence.