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Senior Applied AI/ML Scientist - Brand Growth

Faire Berlin·$211,000 – $290,500

Primary stack

Machine LearningNLP

Nice to have's

Marketing

Job description

About the Position

Senior Applied AI/ML Scientist - Brand Growth

San Francisco, CA

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.

Responsibilities

As a Senior Applied AI/ML Scientist on the Brand Growth team, you will:

  • 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.

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 Have

  • 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.

We Offer

  • 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.

About the Company

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)

© Faire Berlin. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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