# Senior Applied AI/ML Scientist - Compass

**Company**: Faire
**Location**: Kitchener-Waterloo, Toronto, ON
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $180,000 to $247,500 per year
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/faire/jobs/8610312002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_46804ba4-f29

## Description

Faire is building the future of wholesale, connecting independent retailers with brands that define their stores. At the heart of this mission is Compass , Faire's user-facing AI within the Discovery Pillar , building an always-present, context-aware retailer assistant.

As a Senior Applied AI/ML Scientist on the Compass team, you will be the science and technical lead for this product , driving agent quality through data, evaluation, and modeling, while shipping product features end-to-end with high velocity.

Responsibilities:

- Own the science and technical direction for Compass's agentic products , the retailer assistant and future products.

- Ship retailer-assistant features end-to-end across the FLARE Python app, data plumbing, tool wrappers, and frontend surfaces.

- Translate product bets into tactical plans, sequencing and de-risking them.

- Define evaluation and experiment-driven development processes.

- Make pragmatic engineering choices, balancing simplicity and evolution.

- Partner with engineers on architecture and serve as the science/technical interface to adjacent teams.

Requirements:

- 5+ years of industry experience building and shipping production ML/AI systems with measurable business impact.

- Hands-on experience with agentic / LLM-powered features in a core production product.

- Strong applied ML / data science foundation.

- Track record of shipping fast across multiple stacks with quality.

- AI-native in practice, using AI coding tools and agent workflows.

Nice to Have:

- E-commerce, marketplace, or two-sided platform context.

- Experience evolving a read-only assistant into one that takes actions safely.

- Hands-on experience with the OpenAI Agents SDK or similar agentic frameworks.

- Familiarity with preload-over-RAG context strategies or hybrid approaches.

- Prior 0→1 / early-stage product experience.

Benefits:

- Competitive pay: $180,000 to $247,500 per year.

- Equity and comprehensive benefits.

- Opportunity to work on cutting-edge AI projects.

- Collaborative and supportive team environment.

## Skills

### Required
- Python
- AI
- ML
- Data Science
- Agentic Frameworks
- LLM

### Nice to have
- E-commerce
- Marketplace
- Two-sided platform
- OpenAI Agents SDK
- preload-over-RAG context strategies

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/faire/jobs/8610312002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)