Senior Applied AI/ML Scientist - Retailer Growth

About Faire

Faire is a technology wholesale platform that uses technology, data, and machine learning to connect independent retailers with products from around the world and help local businesses grow.

About the Role

As a Senior Applied AI/ML Scientist on the Retailer Growth Data team, you will focus on paid marketing and top-of-funnel acquisition, developing AI/ML systems that activate new retailers and increase engagement. Opportunities include bidding optimization, search keyword intelligence, audience targeting, incrementality and efficiency estimation, and Answer Engine Optimization (AEO).

The role explores using ML and large language models to generate programmatic content at scale, build reinforcement learning systems with fast feedback loops, and improve landing experiences and conversion.

Responsibilities

• Drive data science vision, strategy, and execution within Retailer Growth to activate and engage retailers.
• Collaborate with cross-functional stakeholders to develop end-to-end product solutions.
• Extract behavioral insights using AI to automate AEO content creation and personalize user landing experiences.
• Optimize marketing capital allocation through targeting and bidding optimization strategies.
• Implement rigorous experimentation and causal inference frameworks to measure the impact of growth initiatives.
• Engineer scalable solutions for complex two-sided marketplace challenges.

Qualifications

• At least 3 years of industry experience applying machine learning to real-world problems.
• Experience with relevant e-commerce business problems.
• Experience with relevant technical methods, including LTV modeling, NLP, LLMs, causal ML, and bidding optimization.
• Strong programming skills.
• Excitement and willingness to learn new tools and techniques.
• Ability to design and implement ML solutions independently.
• Strong communication skills and ability to work in a highly cross-functional team.

Preferred Qualifications

• A master's degree or PhD in Computer Science, Statistics, or related STEM fields is highly recommended.
• Previous experience in paid marketing or a growth team focused on SEO and AEO optimization.
• Previous experience with LLMs and programmatic content generation.

Compensation and Benefits

• San Francisco annual base salary: $211,000–$290,500.
• Eligible for equity and comprehensive benefits.
• Actual base pay depends on transferable skills, work experience, market demands, and primary work location. The range is subject to change.

Work Arrangement

Hybrid employees attend the office three days per week: Tuesdays, Thursdays, and a flex day chosen from Monday, Wednesday, or Friday. Hybrid in-office roles may work remotely for up to four weeks per year.

Application Information

Recruitment accommodations are available for applicants with disabilities. Requests can be submitted through the Accommodation Request Form.

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