4 days ago

Principal Software Engineer, Vector Search

Elastic

Hybrid
Full Time
$200,000
Hybrid

Job Overview

Job TitlePrincipal Software Engineer, Vector Search
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$200,000
LocationHybrid

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Job Description

What is The Role

We're looking for a Principal Software Engineer, Vector Search to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

  • Lead initiatives within Elasticsearch to produce an industry-leading vector database 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. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
  • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
  • Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve 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!

What You Bring

  • 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 vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • You have strong 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. This covers both technical design and working with other engineers to develop needed components.
  • You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
  • 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 excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

  • You've built things with Elasticsearch before.
  • You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
  • Experience with data storage technology.
  • You have experience designing, leading and owning cross-functional initiatives.

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 a minimum of 16 weeks of parental leave

Key skills/competency

  • Vector Search
  • Elasticsearch
  • Java
  • HNSW
  • IVF
  • Lucene
  • Data Structures
  • Concurrency
  • Scalability
  • Distributed Systems
  • Information Retrieval
  • Algorithms

Tags:

Principal Software Engineer, Vector Search
vector search
information retrieval
distributed systems
algorithm design
Java development
search relevance
problem-solving
team leadership
architectural design
performance optimization
Java
Elasticsearch
Lucene
HNSW
IVF
Solr
PostgreSQL
MongoDB
Cassandra
Git

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How to Get Hired at Elastic

  • Research Elastic's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight expertise in vector search, Java, and distributed systems, aligning with Principal Software Engineer, Vector Search requirements.
  • Showcase relevant projects: Detail contributions to open-source or large-scale search platforms using HNSW, IVF, or similar algorithms.
  • Prepare for technical deep-dives: Expect rigorous interviews on Java, data structures, algorithms, and vector similarity concepts.
  • Demonstrate collaborative spirit: Emphasize asynchronous communication skills and experience with globally distributed teams.

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