Senior Applied AI/ML Scientist - Compass

Faire
Waterloo, Toronto, New York, San Francisco
Workplace: HybridFull timeCAD 171,000 - 235,500 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsSkills: ["Autonomy","Collaboration","Communication","Problem-solving","Judgment"]

Senior, hands-on AI/ML expert leading Compass, Faire’s context-aware retailer assistant. Own data strategy, evaluation, modeling, and end-to-end feature shipping across AI, ML, and backend, blending proprietary data with agentic AI and web search. Shape product direction from near-zero to shipped features, balancing speed with thoughtful architecture and guardrails.

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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: 3 hours agoStatus: Live

Job Summary

Senior, hands-on AI/ML expert leading Compass, Faire’s context-aware retailer assistant. Own data strategy, evaluation, modeling, and end-to-end feature shipping across AI, ML, and backend, blending proprietary data with agentic AI and web search. Shape product direction from near-zero to shipped features, balancing speed with thoughtful architecture and guardrails.
Location: Waterloo, Toronto, New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key Responsibilities

  • •Own the science and technical north star for Compass’s agentic products and the retailer assistant today and future iterations, defining data strategy, agent+tool+context approaches, and metrics for agent quality.
  • •Ship retailer-assistant features end-to-end across the FLARE Python app, data plumbing, tool wrappers, and frontend surfaces using AI-native workflows.
  • •Translate ambiguous product bets into sequenced, de-risked tactical plans, identifying what to build now, what to defer, and the bets with highest impact and probability of success.
  • •Set and raise the bar for eval- and experiment-driven development, including offline eval suites, LLM-as-judge metrics, and surface-specific quality criteria.
  • •Make pragmatic engineering choices that ship now yet evolve over time, collaborating with architecture teams and interfacing with adjacent groups (Search, Personalization, Platform/FLARE).

Pay and Benefits

Salary: CAD 171,000 - 235,500 annually
Equity and Bonus:Equity
Perks:EquityHealth Insurance401kTrainingRemote WorkHybrid Work

Key Requirements

  • •5+ years of industry experience building and shipping production ML/AI systems with measurable business impact, including 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 grasp of agent design tradeoffs (eval strategy, latency/cost/quality, tool-calling vs. context preload, guardrails, failure containment).
  • •Strong applied ML/data science foundation with ability to derive product capabilities from data.
  • •Proven track record of shipping across multiple stacks (backend, data, and ideally frontend) with high quality; cross-stack fluency.
  • •AI-native approach: using AI coding tools and agent workflows as a force multiplier in day-to-day work.
Experience:5+ yearsAIMLAgentic AILLMData analytics
Skills:AutonomyCollaborationCommunicationProblem-solvingJudgment
Languages:English
Tech Stack:PythonLLMOpenAI Agents SDKSnowflakeFLAREData pipelinesBackendFrontend

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