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.