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From our technology to our team members, Neo4j is built on relationships.
As part of Neo4j product engineering, you will work together with a diverse team of talented colleagues from around the world. Our culture encourages engineers who want to become deep experts in a particular field – or to build broad expertise across several technologies. Our engineers regularly work with peers in field engineering and experience the full lifecycle of the systems they build.
We build technology that helps cure cancers, addresses diabetes, and gets humans to Mars. We're proud to fight fraud, crush pandemics, and even help journalists uncover the truth. Neo4j’s engineering teams are located in Malmö, Sweden and London, UK.
Please submit your CV and cover letter in English.
The Role:
Do you want to work in the forefront of machine learning technology? Are you passionate about software? 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. Our users are primarily data scientists who want to analyze data relationships and structures to develop answers, insights and predictions about their data. We are looking for a software engineer with a strong passion for and deep expertise in machine learning as well as software development.
What You'll do:
• Work on our Graph Data Science (GDS) library to implement and optimize machine learning algorithms for graphs. This can include leveraging known algorithms, adapting them, or designing novel methods • Design and implement user-facing APIs with a focus on ease of use, consistency and fit for our user personas • Work in a highly collaborative and friendly team of skilled and motivated engineers • Identify and integrate new areas of research and modeling that can solve even our customers’ most difficult problems • Apply data- and benchmark-driven practices to drive decision-making and design • Stay up to date on the machine learning literature to identify relevant techniques, understanding how these relate to each other and to common use cases in the field • Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database
What You'll Bring:
• Master's degree or equivalent in Computer Science, Data Science, Mathematics, or another related field • Professional experience in the fields of machine learning, mathematics, and/or statistics • Ability to explain, discuss and implement machine learning concepts as well as understand the tradeoffs between various algorithms • Good knowledge of Java and its programming practices OR another compiled, object-oriented programming language and an interest in learning Java • Experience developing production-level software • Creativity and motivation to drive your own ideas
Nice to Have:
• PhD degree in a Machine Learning related field • Knowledge and experience in any of deep learning, graph neural networks, knowledge graphs, link prediction, network analysis, or graph algorithms • Experience with Cypher and Neo4j • Worked on an Open Source or Open Core software project • Knowledge of Python and the tools in the Python Data Science ecosystem
Country
London, UK #LI-AO1
Neo4j Values:
Our work in Neo4j Engineering is guided by our company values:
(we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(:UserSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)
Why Join Neo4j?
Neo4j is one of the 20 most popular databases in the world, and the leader in the rapidly emerging Graph Database category. We’re building the technology that enables connected data to solve the world’s most pressing problems. You’ll work on unique engineering projects that challenge what’s possible.
We have customers in every industry across the globe, and our products a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics.
We pride ourselves on being a welcoming team. Most of us would agree that one of the best parts of working at Neo4j is the people we get to work with.
We encourage you to apply even if you don’t 100% fit the qualifications above. Why? Because we are committed to building an environment that fosters belonging, which means valuing intellectually honest discussions and being receptive to new ideas and perspectives.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience.
About Neo4j:
Neo4j is the leader in graph database technology. As the world’s most widely deployed graph database, we help organizations – including NASA, UBS and Volvo Cars – to reveal and predict how people, processes and systems interrelate. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges such as analytics and artificial intelligence, fraud detection, real-time recommendations and knowledge graphs.
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com.
