About the company
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.
Responsibilities
- Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
- Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand.
- Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
- Be an expert on Elasticsearch search relevance. Identify and drive improvements in this area based on your questions and your instincts.
- Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
- Write idiomatic modern Java -- Elasticsearch is 99.8% Java!
Requirements
- You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
- Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
- You have solid skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
- You work with a high level of autonomy and are able to take on projects and guide them from beginning to end.
- You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard!
- You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
- You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
- You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
- You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
Conditions
- Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
- 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.