Job description preview
From MongoDB’s original posting
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 systems • Experience…
Open full posting on MongoDB’s site