About Faire
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. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
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.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
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.
Why you’ll love working at Faire
- 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.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Skills Required
- 3+ years of industry experience using machine learning to solve real-world problems
- Experience with e-commerce business problems
- Experience with LTV modeling, NLP, LLMs, causal ML, or bidding optimization
- Strong programming skills
- Ability and willingness to learn new tools and techniques
- Ability to design and implement machine learning solutions independently
- Strong communication and cross-functional collaboration skills
- Master's or PhD in Computer Science, Statistics, or a related STEM field
- Experience in marketplace growth, acquisition or paid marketing, LTV modeling, or personalization for a two-sided platform
Faire Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Faire and has not been reviewed or approved by Faire.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive across medical, dental, and vision, with dental preventative care covered at 100% and disability coverage described as fully covered. Mental health support is treated as a core benefit through therapy/coaching access and tools such as Headspace.
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Leave & Time Off Breadth — Time off is framed as generous through paid vacation, holidays, and company-wide PTO days (“Faire Fundays”), with multiple mentions of unlimited or flexible PTO language. Remote/hybrid flexibility is also repeatedly presented as a meaningful part of the overall rewards experience.
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Parental & Family Support — Parental leave is characterized as generous, and fertility support is explicitly included in the benefits package. Family-oriented community support is reinforced through a dedicated parent ERG (“Fairents”).
Faire Insights
What We Do
Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement.
Why Work With Us
Faire is being built for entrepreneurs, by entrepreneurs. Our customers are at the heart of every decision we make, and we are motivated by the impact we have on local economies and communities around the world. If you believe in community, come join ours.
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