Senior Applied AI/ML Scientist - Compass

Faire
New York, San Francisco, Ontario, Toronto
Workplace: HybridFull timeUSD 196,000 - 269,500 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsSkills: []

Senior AI/ML scientist leading Compass, Faire’s retailer assistant. Own the data strategy, evaluation, and modeling to drive agentic AI features end-to-end across backend, data, and frontend, shipping high-velocity product features while balancing simplicity and scalability.

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FursaFursa
Faire
Faire
2 months ago

Senior Applied AI/ML Scientist - Compass

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Senior AI/ML scientist leading Compass, Faire’s retailer assistant. Own the data strategy, evaluation, and modeling to drive agentic AI features end-to-end across backend, data, and frontend, shipping high-velocity product features while balancing simplicity and scalability.
Location: New York, San Francisco, Ontario, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Own the science and technical north star for Compass’s agentic products—defining how to leverage Faire’s data, agent + tool + context strategy, and how to measure agent quality.
  • •Ship retailer-assistant features end-to-end across the FLARE Python app, data plumbing, tool wrappers, and frontend surfaces.
  • •Translate ambiguous product bets into sequenced, de-risked tactical plans—deciding what to build now vs. later and estimating impact.
  • •Set and raise the bar for eval- and experiment-driven development—define metrics, offline eval suites, and guardrails per retailer journey.
  • •Make pragmatic engineering choices that are simple to ship now but adaptable for future scale, and collaborate with engineers on architecture and tradeoffs.

Pay and Benefits

Salary: USD 196,000 - 269,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •5+ years of industry experience building and shipping production ML/AI systems with hands-on ownership of the applied-science side (data, evaluation, modeling, quality)
  • •Experience shipping agentic/LLM-powered features in a core production product with a deep understanding of agent design tradeoffs (eval strategy, latency/cost/quality, guardrails, failure containment)
  • •Strong applied ML / data science foundation with ability to turn proprietary data into product capability
  • •Track record of shipping across multiple stacks (backend, data, frontend) with a cross-stack skill set
  • •Fluency in AI-native workflows and agents tooling (AI coding tools, OpenAI Agents SDK or similar) and pragmatic architectural choices
Experience:5+ yearsE-commerceRetailAI/ML
Languages:English
Tech Stack:PythonSnowflakeOpenAIAI agentsFLAREData pipelinesBackendFrontendAPIsSQLSnowflake-backed grounding

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