# Senior Applied ML/AI Scientist - Search

**Company**: Faire
**Location**: New York City, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $211,000 to $290,500 per year
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/faire/jobs/8660923002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bb5500d4-1e9

## 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
- Python
- Java
- PyTorch
- Spark
- deep learning
- machine learning
- natural language processing

### Nice to have
- Kotlin
- Cursor
- Claude Code
- Codex
- LLM-based applications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/faire/jobs/8660923002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)