Senior Applied AI/ML Scientist - Compass

The role

You will be the science and technical lead for Compass, a retailer assistant. You will drive agent quality through data, evaluation, and modeling while shipping product features end-to-end.

What you will do

• Own the science and technical north star for Compass's agentic products
• Ship retailer-assistant features end-to-end across the Python app, data plumbing, tool wrappers, and frontend surfaces
• 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
• Act as the science/technical interface to adjacent teams
• Raise the team's collective judgment through prototypes, analyses, design reviews, and pairing

Required qualifications

• 5+ years of industry experience building and shipping production ML/AI systems
• Hands-on ownership of the applied-science side including data, evaluation, modeling, and quality
• Shipped agentic / LLM-powered features in a core production product
• Deep, opinionated grasp of agent design tradeoffs
• Strong applied ML / data science foundation
• Track record of shipping fast across multiple stacks including backend, data, and frontend
• Uses AI coding tools and agent workflows in day-to-day work
• Architectural maturity
• Operates with high autonomy and resourcefulness
• Fluent enough in engineering to make sound architecture calls

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 about agentic / applied-AI systems

Benefits

• Flexible paid time off
• Company-wide recharge days
• Paid parental leave up to 16 weeks
• Comprehensive health coverage
• Fertility and family-building benefits through Carrot
• Mental health support and coaching through Modern Health
• Stipends to support professional development, wellness, and work from home needs
• Employer-sponsored retirement plan

About the company

Faire is a technology wholesale platform that uses tech, data, and machine learning to connect independent retailers with brands. It was founded in 2017 by a team of early product and engineering leads from Square.