Description
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 wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
As an Applied AI/ML Scientist tech lead, you will own 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.
Responsibilities:
- Drive data science vision, strategy, and execution end-to-end, and act as a pod lead across cross-functional workstreams.
- Develop personalized recommendation, retrieval, and ranking models, and build content and retailer-level embeddings to power better discovery and exploration experiences.
- Optimize marketing, acquisition, and incentive spend through targeting and personalization, and use experimentation and causal inference to measure the effectiveness of spend levers.
- Predict lifetime value to prioritize sales and acquisition effort and to personalize the new-user experience, even in a user's first session.
- Improve cold-start recommendations and exploration so that new users and new selection find the right audience quickly.
- Extract insights from internal and external data to enrich leads and power personalization.
- Use deep learning, multi-modal LLMs, and human-in-the-loop training to understand listings and content, extract structured attributes, and detect issues with high accuracy.
- Build detection, enforcement, and quality systems that reduce bad experiences in the marketplace.
- Re-engage users through personalized marketing and identify gaps and opportunities that drive increased engagement.
- Mentor or manage Senior Applied AI/ML Scientists and Analytics Engineers.
Qualifications:
- 5+ years of industry experience using machine learning to solve real-world problems.
- Experience with relevant business problems (e-commerce, marketplaces, growth, personalization, incentives, or trust and quality).
- Experience with relevant technical methods (causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, and/or deep learning and LLMs).
- Strong programming skills.
- An excitement and willingness to learn new tools and techniques.
- Experience as a tech lead, mentoring other scientists or machine learning engineers, and the ability to set team strategy and lead model development without supervision.
- Strong communication skills and the ability to work in a highly cross-functional 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.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.