Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Search Infrastructure builds and operates the foundational components for platform teams at Reddit to build atop. Our systems satisfy needs ranging from classical ranking/search (BM25) to more modern and novel spaces involving vector embeddings. We are a team of software and machine learning engineers who build platforms around and evolve technologies including: Milvus Vespa Solr Kubernetes Our platform strives to balance reliability, performance, efficiency, and developer productivity, in that order. We offer abstractions that enable our customers to express their needs and transparently map those into underlying infrastructure resources (CPU, memory, architecture, etc). Software engineering is the core of our DNA. We scale the team through automation, self healing, and orchestration. As Reddit’s usage of AI and embedding models grows, conventional databases don’t fit the needs of our scale. This is an opportunity to sit at the cutting edge of this space and help establish the future of Reddit’s search capabilities while maturing a (relatively) newer ecosystem of technologies. These capabilities will post everything from Reddit.com’s search, to Ads Platforms, and many other ranking/relevance use cases. Some Of Our Present And Future Challenges Include: Scaling search primitives, namely databases, to be secure, highly available, and geo-distributed. Contributing to ecosystems (OSS) involving codebases including Go, Rust, C++, and Java. Managing the full lifecycle of our systems including provisioning, scaling, self healing, and decommissioning via software engineering. Our interfaces are APIs and our operators are code, not humans. Working with and abstracting systems like Milvus, Vespa, and Solr to support key use cases, such as lexical search, semantic search, and relevance/ranking. Running these systems with high-efficiency without sacrificing reliability.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
Number of Employees
501-1,000 employees