Principal Java Engineer II - Machine Learning - Elasticsearch

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What Is The Role :

We are on the lookout for a Principal Software Engineer II to join our Elasticsearch - Machine Learning team and help build and maintain the platform and components used for machine learning in Elasticsearch. On the Java side this will involve maintaining and extending ML support in Elasticsearch, on the C++ side this will involve working on model performance optimizations.

You will help us to build the platform and components that enable customers to gain insight from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform - making these available for our Search, Observability and Security Solutions. This work will involve close collaboration with elasticsearch and enterprise search engineers.

What You Will Be Doing :

• Build and maintain Machine Learning and advanced analytical platform components.


• Implement scalable, high quality, well-architected code.


• Collaborate with other engineering teams within Elastic that build on our platform.


• Assist our support engineers and community. 


• Promote knowledge sharing and collaboration in a distributed team.

What You Bring : 

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.


• You have a deep technical proficiency in algorithms.


• You have professional experience in leading the development of Machine Learning components.


• You have shown your ability to understand and work on complex systems.


• You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.


• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.


• You have experience communicating with a variety of stakeholders.

Bonus Points :

• Experience with the Elastic Stack.


• Experience in C++.


• Experience with Python / Go.


• Open source experience.