Faire

4 weeks ago

Senior Applied AI/ML Scientist - Compass

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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

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

Website LinkedIn

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Faire

4 weeks ago

Senior Applied AI/ML Scientist - Compass

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

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

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn