Software Engineer - Graph Analytics

Do you enjoy thinking about algorithms and data structures? Are you passionate about performance? Interested in graphs? Here at Neo4j, we’re building a comprehensive and high-performance library of graph algorithms and machine learning methods to help the world make sense of data.


This is an opportunity to work on cutting edge technology of machine learning and applied graph theory. Our users are primarily data scientists who want to analyze data relationships and structures to develop answers, insights and predictions about their data. You will work on a product that will go directly into the hands of our customers who are using Neo4j to identify financial crimes, perform real-time recommendation, and power knowledge graph applications.
What You'll do:
Improve Neo4j’s Graph Data Science (GDS) platform
Write high-performance Java code with a strong focus on usability, efficiency, and scalability
Design and implement state-of-the-art graph algorithms and related data structures
Apply data- and benchmark-driven practices to drive decision-making and design
Work in a highly collaborative and friendly team of skilled and motivated engineers