Senior Applied AI/ML Scientist - Retailer Growth

Faire•San Francisco, CA

5d•$196,000 - $269,500•Hybrid

About The Position

Faire leverages the power of machine learning 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 Applied AI/ML Scientists specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. We are dedicated to building machine learning models that help our customers thrive. As a member of the Retailer Growth Data team focusing on the paid marketing and top-of-funnel acquisition channels, you will develop AI/ML systems that help activate new retailers and increase their engagement. There are a wide range of ML opportunities in paid marketing optimization, from bidding optimization, search keywords intelligence, smart audience targeting to incrementality and efficiency estimation. With AI fast-growing and changing every aspect of the world, AEO (Answer Engine Optimization) is the new chapter of growth that yet needs to be figured out, where there is a huge opportunity to leverage ML and LLM to create programmatic content at scale, build reinforcement learning systems for fast feedback loop, and optimize landing experience to improve conversion. Our team already includes experienced Applied AI/ML Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!

Requirements

3+ years of industry experience using machine learning to solve real-world problems
Experience with relevant business problems (e-commerce)
Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)
Strong programming skills
An excitement and willingness to learn new tools and techniques
The ability to design and implement ML solutions without supervision
Strong communication skills and the ability to work in a highly cross-functional team

Nice To Haves

Master’s or PhD in Computer Science, Statistics, or related STEM fields
Previous experience in paid marketing, and/or growth team focusing on SEO and AEO optimization
Previous experience in LLMs and programmatic content generation

Responsibilities

Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to activate and engage more retailers on the platform
Work with cross-functional stakeholders to develop end-to-end product solutions
Extract deep behavioral insights using AI to automate AEO content creation and personalize the user landing experience.
Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies.
Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth levers.
Engineer scalable solutions for complex challenges inherent to two-sided marketplace dynamics.