Senior Applied AI/ML Scientist - Compass

of industry experience building and shipping production ML/AI systems with measurable business impact — including

of the applied-science side (data, evaluation, modeling, quality), not just system plumbing.

agentic / LLM-powered features

in a core production product — with a deep, opinionated grasp of agent design tradeoffs: eval strategy, latency/cost/quality tension, tool-calling vs.

applied ML / data science foundation

— reasons from data, designs experiments and evals, and has turned proprietary or structured data into product capability.

Canada: the pay range for this role is $171,000 to $235,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).

Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Faire is building the future of wholesale, connecting independent retailers with the brands that will define their stores.

At the heart of this mission is

— Faire’s user facing AI bet within the Discovery Pillar — building an always-present, context-aware retailer assistant along the enagement journey.

Compass helps retailers make smarter buying decisions by combining Faire’s rich proprietary data with agentic AI and web search, and is increasingly able to take action on retailers’ behalf.

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.