Senior Applied AI/ML Scientist - Search Ranking

The role

You will build next-generation search ranking algorithms and advance real-time search and recommendation systems. You will leverage LLMs to extract multimodal signals and design natural-language search and discovery systems.

What you will do

• Build next-generation Search ranking algorithms using deep learning and machine learning.
• Leverage LLM to extract multimodal signals to profile users and intents.
• Partner with teams to experiment and improve ML models for search ranking.
• Design and productionize natural-language search and discovery systems.
• Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps.
• Help teammates through code reviews and technical guidance.

Required qualifications

• 5+ years of industry experience building large-scale ML models and shipping ML solutions to production.
• 3+ years in search, recommendation, or ads ranking.
• Master’s or PhD in Computer Science, Statistics, or a related STEM field.
• Strong programming skills (Python, Java, or equivalent).
• Hands-on experience with deep-learning libraries (e.g., PyTorch).
• Hands-on experience with big data technologies (e.g., Spark).
• Deep understanding of machine learning best practices (training/serving, imbalanced data, A/B testing, feature engineering, and feature/model selection).
• Deep understanding of algorithms (user modeling, deep learning, and reinforcement learning) with applications in search, recommendation, and advertising domains.
• Product-focused mindset and a bias toward execution.
• Excellent written and verbal communication skills.
• Strong cross-functional influence.

Nice to have

• Contributions to open-source ML libraries or peer-reviewed publications in ML/AI.
• Industry experience developing and productizing LLM-based applications and systems in the search domain.
• Industry experience building search and recommendation systems for e-commerce or two-sided marketplaces.
• Experience using AI tools (e.g., Cursor, Claude Code, Codex) for code development and daily productivity.
• Familiarity with Kotlin

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, including a lifetime reimbursement allowance
• 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 products from around the world. The company was founded in 2017 by a team of early product and engineering leads from Square.