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From the employer's careers site First seen 26 Oct 2026

Senior Applied ML/AI Scientist - Search

Faire New York City, NY Hybrid senior full-time

Salary

$211,000 to $290,500 per year

Apply on Faire

Description

As a Senior Applied AI/ML Scientist on the Search team at Faire, you will help shape the technical vision, machine-learning algorithm strategy, and system design behind one of our most important growth levers: Search.

You will advance real-time search and recommendation systems that power next-generation shopping experiences. You’ll work at the frontier of algorithms, combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products and brands for every user query.

Responsibilities:

  • Build our next-generation Search ranking algorithms by integrating the latest advances in deep learning and machine learning to personalize the retailer discovery journey at Faire
  • Leverage LLM to extract multimodal signals (text, visual) to better profile users and their intents
  • Partner closely with teams across Faire to experiment and improve the ML models for search ranking and beyond
  • Design and productionize natural-language search and discovery systems so that intelligent agents can generate relevant and personalized collections, explain search results, and assist retailers with browsing, filtering, and evaluation
  • Share best practices regarding deep learning model development, agent-workflow evaluation, and MLOps, and help teammates level up through code reviews and technical guidance

Requirements:

  • 5+ years of industry experience building large-scale ML models with business impact and shipping ML solutions to production, including 3+ years in search, recommendation, or ads ranking
  • A Master’s or PhD in Computer Science, Statistics, or a related STEM field
  • Strong programming skills (Python, Java, or equivalent) and hands-on experience with deep-learning libraries (e.g., PyTorch) and big data technologies (e.g., Spark)
  • Deep understanding of machine learning best practices and algorithms with applications in search, recommendation, and advertising domains
  • A product-focused mindset and a bias toward execution,moving quickly from research papers to prototypes and production
  • Excellent written and verbal communication skills and strong cross-functional influence that raise the technical bar beyond your immediate team

Benefits:

  • Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work
  • Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly
  • Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day
  • Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours
  • Real rewards
  • Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success

Skills

Required

Nice to have

  • Kotlin
  • Cursor
  • Claude Code
  • Codex
  • LLM-based applications

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/faire/jobs/8660923002

Apply on Faire