Faire
Faire

60 Faire Jobs Hiring Near You

Define and drive the long-term architecture of Faire's ML platform including training, inference, feature management, governance * Establish company-wide standards for code quality, testing, MLOps ...

Senior Manager, Global Equity

San Francisco, CA ยท On-site +1

$184K - $253K/yr

About this role Faire is revolutionizing wholesale and helping local retailers and their suppliers succeed in a technology-enabled era. As a Senior Manager, Global Equity, you will own and continue ...

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar ...

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar ...

Capital and operational efficiency both matter at Faire, but fulfillment is increasingly where scale, customer experience, and P&L intersect. The Finance & Strategy team helps ensure we invest with ...

Strategic Finance Senior Associate

New York, NY ยท On-site

$133K - $183K/yr

About This Role Faire is looking for a Senior Associate to serve as the strategic finance partner to Faire's Corporate functions. This role will partner closely with the CFO and other senior ...

Workplace Experience Manager

San Francisco, CA ยท On-site

$104K - $143K/yr

About this role The Workplace Experience Manager owns the day-to-day experience of Faire's San Francisco office experience - ensuring the workplace is reliable, well-run, and reflective of Faire ...

About This Role Faire's Risk team is seeking a highly motivated Verification Associate to analyze and verify small businesses. This role may include weekend work on a monthly basis. What you'll do

GTM Systems Engineer

San Francisco, CA ยท On-site

$174K - $240K/yr

About this role GTM Engineering builds and operates the intelligent systems, integrations, and automations that power Faire's GTM revenue org. We're the AI and technical backbone of GTM - accountable ...

You will be central to how Faire plans, reports, and operates the business - and to ensuring we are fully prepared to run with public-company rigor. You will work directly with the CFO and finance ...

Showing results 21-40

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    Infographic showing various job openings at Faire in the United States as of August 2026, with employment types broken down into 2% Internship, and 98% Full Time. Highlights an 98% Physical, and 2% Remote job distribution.

    Senior Applied AI/ML Scientist - Retailer

    Faire

    San Francisco, CA

    $211K - $290K/yr

    Full-time

    Posted 22 days ago


    Job description

    About this role

    Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.

    At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.

    As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire's retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data.

    Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!ย 

    What you'll doย 

    • Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable.
    • Underwriting: Improve Faire's Net terms portfolio by evaluating creditworthiness of retailers on Faire's platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth.
    • Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend.

    Qualifications

    • An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
    • Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
    • Strong programming skills (Python, Java, Kotlin, C++)
    • Knowledge of statistical techniques such as experimentation and causal inference
    • SQL or other database querying experience preferred
    • An excitement and willingness to learn new tools and techniques

    Salary Range

    California: the pay range for this role is $211,000 to $290,500 per year.

    This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.