Principal Software 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 C++ 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 with Python / Go. Open source experience. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $192,500 $304,500 CAD Additional Information - We Take Care of Ou ... (truncated, view full listing at source)