About The Position

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. 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.

Requirements

  • 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.

Nice To Haves

  • Experience with the Elastic Stack.
  • Experience with Python / Go.
  • Open source experience.

Responsibilities

  • 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.

Benefits

  • 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.
  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave
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