Senior Applied ML/AI Scientist - Search

The role

You will contribute to the next-generation Search engine by integrating LLMs, query understanding, and dense vector retrieval. You will own search components end to end, including problem framing, modeling, and production code.

What you will do

• Contribute to the next-generation Search engine using LLMs, query understanding, and reinforcement learning.
• Own one or more search components end to end.
• Ship models to live traffic.
• Use A/B tests to settle what works.
• Raise the team's bar through design reviews, pairing, and post-mortems.

Required qualifications

• 3+ years building production ML systems in search, recommendations, or another retrieval-and-relevance domain.
• Shipped models that served real traffic.
• Depth in the modern retrieval stack including dual encoders, ANN serving, or LLM-based query understanding.
• Strong Python.
• Engineering chops to take models to production.
• Clear communication with scientists, engineers, and PMs.
• Excellent product judgment.

Nice to have

• Marketplace or e-commerce experience
• Publications, open-source work, or public writing on search and recommender systems.
• MS or PhD in CS, Statistics, or a related field.

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 for 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 products from around the world. It was founded in 2017 by a team of early product and engineering leads from Square.