We hire great Software Engineers to develop an industry-standard system for ML Engineers.

Some of the things we do are fairly run-of-the-mill engineering work (REST, SQL, NoSQL), but often we do something quite rare! How many companies have implemented a fully featured GoogleDocs-like real-time collaborative editor? Or a custom autoscaler for an in-cloud Kubernetes cluster?

• Java is our weapon of choice, but – keeping our stack as elegant as possible – we always choose the best tool for a job: parts of our system are written in Scala, TypeScript and Python.
• Our system stores and processes terabytes of data – frequently in the form of billions of integers, floats or strings which need to be transformed and displayed to the user in a real time. It is a lot of data and a huge challenge to do it effectively.
• Our software engineering team actively participates in the product development. Joining us you will have an impact on the new features designs.

You do not need to have any ML background to join. We use a fairly “classic” software development approach – but at scale. If you are interested though, you will have the opportunity to observe how machine learning is done in production systems.

Want to learn more?

Check our ultimate guide for candidates to the Neptune Engineering – all in one PDF, easy to scan through.

Learn how we work, what challenges you can expect and how the recruitment process looks like.