Senior Applied AI/Machine Learning Scientist (Brand Growth)

Faire; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Healthcare

Paid time off

Parental leave

Home stipend

Learning grant

Well-designed spaces

Wellness credits

Mental health support

Charitable matching

Career development

Job summary

Faire is seeking a Senior Applied AI/ML Scientist on the Brand Growth team in San Francisco to own modeling and measurement for acquiring and growing brands on our marketplace.

You will work across structured and unstructured data, applying methods from personalization, recommendations, and causal inference to drive business impact. You will partner with product, engineering, marketing and sales to ship models end-to-end and measure outcomes.

Qualifications

• 3+ years of industry experience applying ML to real-world problems.
• Experience with e-commerce or two-sided marketplaces.
• Strong project framing, experimentation, and measurement skills.
• Excellent communication in cross-functional teams.
• Experience with LTV modeling, NLP, LLMs, and causal ML.

Responsibilities

• Own modeling and measurement for a set of brand growth problems.
• Build and ship ML models that power acquisition and growth.
• Collaborate with product, engineering, marketing, and sales.
• Turn models into shipped product with measurable impact.
• Optimize marketing spend and personalization through ML.

Skills

Modeling

Cross-functional teamwork

Communication skills

E-commerce domain knowledge

Experimentation

Causal inference

LTV modeling

NLP

LLMs

Bidding optimization

Education

Master's degree in CS/Statistics

Tools

Python

TensorFlow

PyTorch

SQL

Spark

Job description

• As a Senior Applied AI/ML Scientist on the Brand Growth team, you will own the modeling and measurement for a set of problems that help Faire acquire and grow the brands on our marketplace, which connects hundreds of thousands of independent brands and retailers
• Because our users are businesses, there is a wealth of information about them that ML models can use to personalize their experience, grow their success, and prioritize where we invest
• You will work across structured and unstructured data using methods that range from personalization and recommendations to causal inference, lifetime-value modeling, and information extraction
• You will partner closely with product, engineering, marketing, and sales, and you will drive projects end-to-end from framing through production and measurement
• Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact
• Optimize marketing and acquisition spend for acquiring new brands through targeting, lookalike audiences, and personalization
• Predict brand lifetime value to prioritize brand leads for sales and to personalize new-brand onboarding
• Improve cold-start recommendations and exploration so that new brands find the right retailer audience quickly
• Identify and enrich brand leads from internal and external data (e.g. retailer search behavior, referrals, and third-party sources) to power prioritization and personalization
• Use experimentation and causal inference to measure the effectiveness of growth and spend levers
• Partner across product, engineering, marketing, sales, and analytics to turn models into shipped product and business impact
• Solve challenging problems related to a two-sided marketplace

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.

• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Experience with relevant business problems (e-commerce)
• Strong programming skills
• 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
• Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)
• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience in marketplace growth, acquisition / paid marketing, LTV modeling, or personalization for a two-sided platform