Description
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced team of engineers and data scientists are developing solutions related to discovery, ranking, search, and recommendations - all with the goal of helping local retail thrive.
Our Engineering team in collaboration with the Data team owns a wide variety of machine learning systems that power the marketplace. We care about good engineering practice and love to write software that is secure, tested, easy to maintain, and can scale to millions of users. We build minimum viable products, deploy to production multiple times per day, A/B test customer-facing changes, listen to the data, and iterate.
As a leading technical member of the Search Back-end Infra team, this role will be responsible for developing next generation Search at Faire, unlocking new search retrieval and ranking applications while meeting industry benchmarks for the latency of our search experience.
You’re excited about this role because…
- You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
- You’ll develop an infrastructure that support state-of-the-art search algorithms, while enhancing search performance and relevance.
- You’ll optimize existing search infrastructure for efficiency, speed, and accuracy.
- You’ll build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Engineers, Data Platform and Machine Learning Engineers to understand data needs and deliver on those needs
- You want to leverage machine learning to help local retailers and independent brands succeed
- You want to be a foundational team member of a fast growing company
- You like to solve challenging problems related to a two-sided marketplace
Qualifications
- 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
- Experience with optimizing search retrieval latency
- Experience with highly available/fault-tolerant, replicated data storage systems, large-scale data processing systems, or enterprise/cloud storage systems
- 8+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals
- Strong programming skills, including experience with the following
- Kotlin, Java 16
- JUnit, Hibernate, Guice, Jersey
- HTTP, JSON, and Protocol Buffers
- MySQL
- Strong communication skills and the ability to work with others in a closely collaborative team environment
Salary Range
California / New York: the pay range for this role is $210,500 - $289,500 per year.
Colorado / Washington / New Jersey: the pay range for this role is $189,000 - $260,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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