# Senior Applied AI/ML Scientist - Compass

**Company**: Faire
**Location**: New York City, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $211,000 to $290,500 per year
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/faire/jobs/8610263002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f6e12560-3dc

## 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 bet within the Discovery Pillar , building an always-present, context-aware retailer assistant along the engagement journey.

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 north star for Compass's agentic products , the retailer assistant today and whatever comes next

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

- Translate ambiguous product bets into sequenced, de-risked tactical plans

- Set and raise the bar for eval- and experiment-driven development

- Make pragmatic engineering choices

- Partner closely with engineers on architecture and serving tradeoffs

- Raise the team's collective judgment through prototypes, analyses, design reviews, and pairing

Requirements:

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

- Has shipped agentic / LLM-powered features in a core production product

- Strong applied ML / data science foundation

- Track record of shipping fast across multiple stacks

- AI-native in practice

- Architectural maturity

- Operates with high autonomy and resourcefulness

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 in production

- Familiarity with preload-over-RAG context strategies, Snowflake-backed grounding, or hybrid approaches

- Prior 0→1 / early-stage product experience

- Recommendation, retrieval, or personalization modeling background

- Public writing, open-source contributions, or talks that show structured thinking about agentic / applied-AI systems

## Skills

### Required
- Python
- AI
- ML
- data science
- agentic frameworks

### Nice to have
- OpenAI Agents SDK
- Snowflake
- RAG context strategies
- recommendation modeling
- personalization modeling

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/faire/jobs/8610263002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)