Staff Back-end Engineer - Search

This role is for a leading technical member of the Search Back-end Infra team at Faire, an online wholesale marketplace. The role involves developing next-generation search capabilities, focusing on search retrieval and ranking applications while meeting industry benchmarks for search latency. The ideal candidate will have experience with search/query processing, machine learning systems for search, and search indexing/ETL pipeline systems. Strong programming skills and a willingness to learn new tools and techniques are also required. This is an opportunity to work on cutting-edge search query and understanding problems, leveraging machine learning to support local retailers and independent brands.

Develop next generation Search at Faire

Unlock new search retrieval and ranking applications

Meet industry benchmarks for the latency of search experience

Work on cutting-edge search query and understanding problems

Combine a wide variety of data about retailers, brands, and products

Leverage machine learning to help local retailers and independent brands succeed

Be a foundational team member of a fast-growing company

Solve challenging problems related to a two-sided marketplace

Have 5+ years of industry experience with search/query processing for product development

Have experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch, Lucene, Solr, FAISS)

Have experience using machine learning systems for search

Have experience with search indexing and/or ETL pipeline systems

Have strong programming skills, including experience with Kotlin, Java 16, JUnit, Hibernate, Guice, Jersey, HTTP, JSON, and Protocol Buffers

Have an excitement and willingness to learn new tools and techniques

Contribute to team strategy without supervision

Have strong communication skills

• 5+ years of industry experience with search/query processing for product development
• Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch, Lucene, Solr, FAISS)
• Experience using machine learning systems for search
• Experience with search indexing and/or ETL pipeline systems
• Strong programming skills, including experience with Kotlin, Java 16, JUnit, Hibernate, Guice, Jersey, HTTP, JSON, and Protocol Buffers, and MySQL
• An excitement and willingness to learn new tools and techniques
• The ability to contribute to team strategy without supervision
• Strong communication skills and the ability to work with others in a closely collaborative team environment

• Flexible work model with options for remote work or a mix of office and remote work
• Opportunity to work with a closely collaborative team
• Ownership and participation in the founding process of the business
• Use of technology and data to level the playing field for brands and boutiques
• Focus on helping customers grow their business
• Curiosity and resourcefulness encouraged in problem-solving and decision-making
• Backed by top investors in retail and tech
• Equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression
• Commitment to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities