Software Engineer, Neo4j
Graph Data Science
Graph intelligence platform
Job no longer available
Graph intelligence platform
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To help the world make sense of data.
Role
Who you are
- Strong experience with JVM languages or with system programming languages, such as C, C++, Rust and willingness to learn Java
- Experience in developing software with a focus on performance and scalability
- Experience with the Python ecosystem, preferably through writing products in Python
- Creativity and motivation to drive your own ideas
- Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer
Desirable
- Experience in GPU programming, SIMD / vectorization or other hardware-level optimization techniques
- Experience with cloud databases, especially Snowflake
- Familiarity with graph theory
- Experience with working in a distributed / remote team
- Experience with GenAI tools and MCP servers
What the job involves
- Here at Neo4j, we’re building a comprehensive and high-performance platform for 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 want to analyze data relationships and structures to develop answers, insights and predictions about their data
- You will work on products that will go directly into the hands of our customers who are using Neo4j products to identify financial crimes, perform real-time recommendation, and power knowledge graph applications
- Improve Neo4j’s Graph Data Science (GDS) platform, including its integrations in Neo4j Aura and Snowflake
- Write high-performance Java and Python code with a strong focus on usability, efficiency, and scalability
- 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
- Identify and integrate new areas of research that can solve our customers’ most difficult problems
- Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database
Salary benchmarks
Our take
Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.
Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.
Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2024
$50m
LATE VC
Nov 2021
$66m
SERIES F
Total funding: $633.5m
Company benefits
- Competitive health and financial programs tailored to each region
- Work-life balance initiatives
- Cross-functional collaboration opportunities
- Employee Resource Groups (ERGs)
- Mentorship programs
Company HQ
Hayward Park, San Mateo, CA
Leadership
Emil Eifrem
(Co-Founder & CEO)Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.
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