Elasticsearch - Principal Java Engineer II - ML Core at Elastic

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, C++, Machine Learning, Algorithms, Data Structures, Concurrency Constructs, Technical Design, Debugging, Collaboration, Communication, Open Source, Python, Go

Industry

Software Development

Description

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 Java Engineer II to join our Elasticsearch - ML Core 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. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. 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 Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Responsibilities

Build and maintain machine learning and advanced analytical platform components. Collaborate with other engineering teams within Elastic to enhance the platform.