Faire

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

Faire is a technology wholesale platform connecting independent retailers globally. We are seeking a Staff Engineer to own and evolve our data plumbing, ensuring data is accessible, accurate, and queryable for various teams including Product Engineering, Data Science, and Machine Learning. This hands-on role involves designing and building the next generation of our data ingestion and processing systems, and serving as the go-to expert for data movement at Faire.

$247k - $339k

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's Search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by working 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. This is a chance to influence the end-to-end personalized discovery experience at Faire within a high-scale, deeply multi-modal environment, collaborating closely with a talented team of scientists and engineers.

$211k - $291k

Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

Faire is revolutionizing the wholesale industry by connecting independent retailers with global product discovery through technology, data, and machine learning. As a Senior Applied AI/ML Scientist on the Brand Growth team, you will be instrumental in developing algorithmic solutions to acquire and grow brands on our marketplace. This role involves working with structured and unstructured data to personalize user experiences, enhance growth, and drive business impact. You will collaborate closely with product, engineering, marketing, and sales teams, taking ownership of ML projects from conception to production and measurement.

$211k - $291k

Faire is a technology wholesale platform connecting independent retailers globally. We leverage AI and machine learning to empower local businesses to compete effectively. This role focuses on the Retailer Growth Data team, developing AI/ML systems for paid marketing and top-of-funnel acquisition. Opportunities include optimizing bidding, keyword intelligence, audience targeting, and incrementality estimation. There's a significant chance to explore AI/ML and LLMs for programmatic content creation, reinforcement learning, and landing page optimization to drive growth.

$211k - $291k

Faire leverages machine learning and data insights to revolutionize the wholesale industry, empowering local retailers to compete against larger players. Our Applied AI/ML Scientists develop algorithmic solutions for recommender systems, spend optimization, and lifetime value predictions. As a tech lead in this role, you will own the vision, strategy, and execution for a set of problems that power Faire's two-sided marketplace, connecting hundreds of thousands of independent brands and retailers. You will work across structured and unstructured data using various ML methods and act as a lead across multiple cross-functional workstreams, mentoring other scientists.

$247k - $339k

Faire is a technology wholesale platform connecting independent retailers with global product discovery. We are seeking a Staff Product Engineer to join our Discovery Search team (Search FX). This role will be a primary technical architect for our retailer-facing search surfaces, owning the technical roadmap for search, recommendations, and Gen-AI experiences. You will bridge the gap between high-scale infrastructure and user experience, unifying retrieval, ranking, and personalization into a cohesive, high-performance system. You will integrate LLM-powered capabilities, solve complex scale problems, and drive cross-functional impact while mentoring the team.

$231k - $318k

Faire is seeking a Senior Security Engineer to focus on Enterprise AI, ensuring the safe and rapid adoption of AI technologies. This role involves owning and building the technical guardrails for AI platforms, enabling secure AI acceleration without introducing new exposures. You will have a significant voice in scaling AI safely, translating strategic direction into functional systems, standards, and controls. The position is ideal for someone who wants to directly manage AI platforms, build technical safeguards, and act as a trusted technical advisor for AI tool adoption.

As a Senior Applied AI/ML Scientist on the Search team, you will shape the technical vision, machine-learning algorithm strategy, and system design behind Faire's search functionality. You will advance real-time search and recommendation systems that power next-generation shopping experiences by combining query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to deliver hyper-relevant, personalized products and brands. This role offers a unique opportunity to influence the end-to-end personalized discovery experience in a high-scale, multi-modal environment, collaborating with a talented team of scientists and engineers.

$211k - $291k

The Search algorithms team at Faire is seeking a Senior Applied ML/AI Scientist to contribute to the next generation of their search engine. This role involves owning components end-to-end, from problem framing and modeling to production code and experiment design. You will integrate cutting-edge technologies like LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to deliver personalized product feeds with low latency. The position requires shipping models to live traffic and using A/B tests to validate their effectiveness, while also raising the team's technical bar through design reviews and knowledge sharing.

$211k - $291k

Faire is a technology wholesale platform dedicated to empowering independent retailers globally. We leverage machine learning (ML) and data insights to help local businesses compete effectively. Our Data Science team develops and maintains a variety of algorithms and models that drive our marketplace, focusing on solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. As a Data Scientist on the Retailer team, you will tackle diverse challenges, including optimizing logistics, underwriting creditworthiness, enhancing search engine optimization, personalizing landing pages, and predicting retailer lifetime value. You will collaborate with data scientists, engineers, and product managers to unlock value from our extensive marketplace data.

$211k - $291k

Faire is building the future of wholesale, connecting independent retailers with brands through its technology platform. The Compass team is developing a user-facing AI assistant that leverages proprietary data, agentic AI, and web search to help retailers make smarter buying decisions and take actions on their behalf. This role is a hands-on individual contributor position focused on driving agent quality through data, evaluation, and modeling, while also shipping product features end-to-end. You will work at the frontier of agentic AI, blending scientific rigor with cross-stack engineering to build the next generation of AI assistants.

$211k - $291k