Job Overview
Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which enables approximate nearest neighbor queries over high-dimensional vectors.
We are a small team with a large and rapidly growing customer base, providing engineers an opportunity to make a highly-visible, broad impact. When scaling search to billions of vectors, performance is paramount. We're looking for engineers who enjoy solving complex and open-ended problems that directly impact users' performance.
This role is based in San Francisco, CA with a hybrid work model.
You would get to
- Implement new features within MongoDB's $search and $vectorSearch aggregation operators
- Work cross-functionally with Product teams to define new query and index syntax
- Identify and address performance bottlenecks in filter queries and nearest neighbor search
- Have the opportunity to lead projects and own subsystems
- Perform code reviews with peers, review technical designs, and mentor junior developers
Ideally you will be
- 3+ years of experience working on large-scale backend