Senior Applied AI/ML Scientist (Retailer Growth)

• 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!
• 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

Benefits

• Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
• Time off: Paid time off, holidays and company-wide “Faire Fundays”.
• Parental leave: Generous parental and family leave, as well as fertility support benefits.
• Productivity support: Monthly stipends to help cover work from home connectivity needs.
• Annual learning grant: For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.
• Thoughtfully designed spaces: All of our offices have been designed with local in mind – from our architects to our coffee blends.
• Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
• Mental health benefits: Including free access to Modern Health therapists and resources.
• Charitable matching: Faire will match up to £250 of your charity donations, every year.
• Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.- Experience with relevant business problems (e-commerce)
• Strong programming skills
• Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• 3+ years of industry experience using machine learning to solve real-world problems
• Strong communication skills and the ability to work in a highly cross-functional team
• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience in LLMs and programmatic content generation
• Previous experience in paid marketing, and/or growth team focusing on SEO and AEO optimization