Top Benefits
Comprehensive healthcare coverage
Paid vacation, holidays, and company-wide “Fundays”
Monthly wellness credit
About the role
Who you are
- 8+ years of industry experience building and scaling distributed systems, with strong fundamentals in distributed infra
- 5+ years working on search, ranking, or query understanding systems at scale
- Hands-on experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch, Lucene, Solr, FAISS, Vespa, Weaviate, Milvus)
- Expertise in search indexing, retrieval, and ranking pipelines, including query rewriting, personalization, embeddings, and vector search
- Experience with ML-driven search systems, including personalization, re-ranking, and reinforcement learning
- Strong knowledge of latency optimization and building low-latency, high-throughput serving systems
- Familiarity with AI/ML infra such as model serving (e.g. TensorFlow Serving, TorchServe, Ray Serve), feature stores, and online experimentation
- Proficiency in at least one modern backend language (Java, Kotlin, Go, or Python)
- Solid understanding of APIs, distributed data storage, and streaming systems (e.g. Kafka, Flink, Spark)
- Excellent communication skills and a proven track record of technical leadership and mentorship
- Experience with applied LLM integration into production systems (agentic, multi-turn chat experience, conversational search, etc)
- Contributions to open-source search/ML infra projects
What the job involves
- As a technical leader on the Discovery Infra and Enablement team, you will be responsible for building and scaling the next generation of Search and AI infrastructure at Faire.
- You’ll unlock new agentic features, enable cutting-edge retrieval and ranking applications, and ensure our search experience is world-class in both relevance and latency
- Build and optimize the next-generation Discovery Search and AI stack, integrating LLMs, semantic search, dense vector retrieval, embeddings, and reinforcement learning to serve personalized results with <100ms latency
- Lead the design and productionization of natural language search and intelligent discovery systems, enabling AI agents to generate relevant collections, explain results, and support retailers in browsing, filtering, and evaluation
- Tackle deep technical challenges in query understanding, retrieval efficiency, and multi-stage ranking pipelines
- Develop infrastructure to support state-of-the-art search algorithms while optimizing for cost, speed, and accuracy at scale
- Shape the technical strategy for how applied AI is leveraged across search and discovery at Faire
- Collaborate with Data Scientists, Product Managers, and ML Engineers to translate business needs into scalable technical solutions
Benefits
- Comprehensive healthcare
- All of our offices have been designed with local in mind—from our architects to our coffee blends
- Paid vacation time, holidays, and company-wide “Faire Fundays.”
- Including a monthly credit toward your wellness-related programs
- Generous parental and family leave, as well as fertility support benefits
- Including free access to Modern Health therapists and resources
- Optional morning meditation, plus a free Headspace membership
- Faire will match up to US$250 of your charitable donations, every year
- For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
- Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore
Top Benefits
Comprehensive healthcare coverage
Paid vacation, holidays, and company-wide “Fundays”
Monthly wellness credit
About the role
Who you are
- 8+ years of industry experience building and scaling distributed systems, with strong fundamentals in distributed infra
- 5+ years working on search, ranking, or query understanding systems at scale
- Hands-on experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch, Lucene, Solr, FAISS, Vespa, Weaviate, Milvus)
- Expertise in search indexing, retrieval, and ranking pipelines, including query rewriting, personalization, embeddings, and vector search
- Experience with ML-driven search systems, including personalization, re-ranking, and reinforcement learning
- Strong knowledge of latency optimization and building low-latency, high-throughput serving systems
- Familiarity with AI/ML infra such as model serving (e.g. TensorFlow Serving, TorchServe, Ray Serve), feature stores, and online experimentation
- Proficiency in at least one modern backend language (Java, Kotlin, Go, or Python)
- Solid understanding of APIs, distributed data storage, and streaming systems (e.g. Kafka, Flink, Spark)
- Excellent communication skills and a proven track record of technical leadership and mentorship
- Experience with applied LLM integration into production systems (agentic, multi-turn chat experience, conversational search, etc)
- Contributions to open-source search/ML infra projects
What the job involves
- As a technical leader on the Discovery Infra and Enablement team, you will be responsible for building and scaling the next generation of Search and AI infrastructure at Faire.
- You’ll unlock new agentic features, enable cutting-edge retrieval and ranking applications, and ensure our search experience is world-class in both relevance and latency
- Build and optimize the next-generation Discovery Search and AI stack, integrating LLMs, semantic search, dense vector retrieval, embeddings, and reinforcement learning to serve personalized results with <100ms latency
- Lead the design and productionization of natural language search and intelligent discovery systems, enabling AI agents to generate relevant collections, explain results, and support retailers in browsing, filtering, and evaluation
- Tackle deep technical challenges in query understanding, retrieval efficiency, and multi-stage ranking pipelines
- Develop infrastructure to support state-of-the-art search algorithms while optimizing for cost, speed, and accuracy at scale
- Shape the technical strategy for how applied AI is leveraged across search and discovery at Faire
- Collaborate with Data Scientists, Product Managers, and ML Engineers to translate business needs into scalable technical solutions
Benefits
- Comprehensive healthcare
- All of our offices have been designed with local in mind—from our architects to our coffee blends
- Paid vacation time, holidays, and company-wide “Faire Fundays.”
- Including a monthly credit toward your wellness-related programs
- Generous parental and family leave, as well as fertility support benefits
- Including free access to Modern Health therapists and resources
- Optional morning meditation, plus a free Headspace membership
- Faire will match up to US$250 of your charitable donations, every year
- For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
- Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore