Joblaze summary

In the role of Senior Applied AI/ML Scientist on the Brand Growth team at Faire, the individual will focus on developing and implementing machine learning models to enhance brand acquisition and growth within the marketplace. Key skills include expertise in LTV modeling, causal inference, and strong programming capabilities, particularly in e-commerce contexts. This position is suited for experienced professionals with a background in machine learning and a collaborative mindset, as it involves working closely with cross-functional teams to drive impactful projects.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze September 13, 2026. Last confirmed on Faire's careers page November 14, 2026.
Salary band is above the typical range for AI/ML roles (median ~$188,000).
Starts above 57% of 69 comparable senior ai/ml roles in United States that list Machine Learning we track (median $200,000 across 38 companies). See Machine Learning salary trends
Machine Learning appears in 17.8% of 555 comparable senior ai/ml roles in United States; Data & Insights appears in 0.2% of 555 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Applied AI/ML Scientist - Brand Growth role remote?: It's hybrid — Faire expects some on-site time in San Francisco, CA.
What's the salary range?: Faire lists $211,000–$290,500 for this role.
How much experience is required?: At least 3 years of relevant experience for this Senior Applied AI/ML Scientist - Brand Growth role.
Where is the role based?: Faire is hiring for this position in San Francisco, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: Data & Insights, Information Extraction, Machine Learning, Personalization, Recommendations, causal inference.
What seniority level is this role?: Faire targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Applied AI/ML Scientist - Brand Growth role at Faire.

From the original posting

About Faire

About this role

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 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.

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!

What you’ll do

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.

Qualifications

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

Great to Haves

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.

Salary Range

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

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Standard company text repeated across Faire's postings is omitted here.

Senior Applied AI/ML Scientist - Brand Growth

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