Senior Applied ML/AI Scientist - Search

Faire
New York, San Francisco, Ontario, Toronto
Workplace: HybridFull timeUSD 231,000 - 318,000 annuallyFunction: Research & Scientific (R&D)Experience: 7+ yearsEducation: mastersSkills: ["Communication","Cross-functional influence","Product mindset","Execution","System reliability"]

Own end-to-end personalization for next-generation search on a large-scale e-commerce platform, advancing real-time search and recommendation. You’ll design and productionize natural-language search/discovery systems using LLMs, query understanding, vector retrieval, multi-stage ranking, and reinforcement learning, then lead model development and GPU deployment. Mentor applied scientists and MLEs, establish best practices across evaluation and MLOps, and drive the technical vision for hyper-relevant product feeds under 100ms latency.

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FursaFursa
Faire
Faire
2 months ago

Senior Applied ML/AI Scientist - Search

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own end-to-end personalization for next-generation search on a large-scale e-commerce platform, advancing real-time search and recommendation. You’ll design and productionize natural-language search/discovery systems using LLMs, query understanding, vector retrieval, multi-stage ranking, and reinforcement learning, then lead model development and GPU deployment. Mentor applied scientists and MLEs, establish best practices across evaluation and MLOps, and drive the technical vision for hyper-relevant product feeds under 100ms latency.
Location: New York, San Francisco, Ontario, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Sr. Manager level

Key Responsibilities

  • •Own the next-generation search engine, integrating LLMs, query understanding, dense retrieval, personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized feeds with <100ms latency.
  • •Design and productionize natural language search and discovery systems for intelligent agents that generate collections, explain results, and support retailer browsing, filtering, and evaluation.
  • •Lead model development and GPU-based deployment, scaling inference reliably and efficiently using frameworks like Triton.
  • •Mentor and grow senior applied scientists and MLEs, and establish best practices around model development, agent workflow evaluation, and MLOps.

Pay and Benefits

Salary: USD 231,000 - 318,000 annually
Equity and Bonus:Equity

Key Requirements

  • •7+ years building large-scale ML systems, including 3+ years in search, recommendation, or ads ranking.
  • •Hands-on experience with deep learning libraries (e.g., PyTorch) and vector search infrastructure (e.g., Faiss, ScaNN, Pinecone).
  • •Experience productionizing models that blend LLMs (e.g., BERT, GPT-class) with structured features for personalization.
  • •Strong Python skills with a focus on system reliability, ownership, and execution from prototype to production.
  • •Excellent communication and cross-functional influence; experience raising the technical bar.
Experience:7+ years
Education:Master's in Computer Science, Statistics, or a related STEM field
Skills:CommunicationCross-functional influenceProduct mindsetExecutionSystem reliability
Languages:English
Tech Stack:PythonPyTorchLLMsNatural language processingTransformersBERTGPT-classGraph neural networksFaissScaNNPineconeTritonVector searchReinforcement learningDense vector retrieval

Company Brief

Faire
Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn