Is the Senior Applied AI/ML Scientist - Retailer 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 - Retailer 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: Bidding Optimization, Causal ML, Data & Insights, LLMs, LTV modeling, Machine Learning.

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 - Retailer Growth role at Faire.

Senior Applied AI/ML Scientist - Retailer Growth at Faire

Joblaze summary

In this role, the Senior Applied AI/ML Scientist focuses on developing machine learning systems to enhance retailer engagement and acquisition through paid marketing strategies. Key skills include expertise in LTV modeling, NLP, and causal ML, along with strong programming capabilities. This position is ideal for someone with over three years of experience in e-commerce and a background in growth teams, particularly in paid marketing. The team comprises seasoned professionals from notable tech companies, fostering a collaborative environment aimed at leveraging data for impactful solutions.

Joblaze insights

Listed 2 days ago — first seen on Joblaze September 23, 2026. Last confirmed on Faire's careers page September 25, 2026.
This exact title is also open at 2 other locations at Faire: Kitchener-Waterloo, ON; Toronto, ON, Kitchener-Waterloo, ON; Toronto, ON.
Salary band is above the typical range for AI/ML roles (median ~$190,000).
Starts above 58% of 67 comparable senior ai/ml roles in United States that list Machine Learning we track (median $200,000 across 32 companies). See Machine Learning salary trends
Machine Learning appears in 18.7% of 545 comparable senior ai/ml roles in United States; Data & Insights appears in 0.2% of 545 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Applied AI/ML Scientist - Retailer 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 - Retailer 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: Bidding Optimization, Causal ML, Data & Insights, LLMs, LTV modeling, Machine Learning.
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 - Retailer 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 member of the Retailer Growth Data team focusing on the paid marketing and top-of-funnel acquisition channels, you will develop AI/ML systems that help activate new retailers and increase their engagement. There are a wide range of ML opportunities in paid marketing optimization, from bidding optimization, search keywords intelligence, smart audience targeting to incrementality and efficiency estimation. With AI fast-growing and changing every aspect of the world, AEO (Answer Engine Optimization) is the new chapter of growth that yet needs to be figured out, where there is a huge opportunity to leverage ML and LLM to create programmatic content at scale, build reinforcement learning systems for fast feedback loop, and optimize landing experience to improve conversion.

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

Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to activate and engage more retailers on the platform
Work with cross-functional stakeholders to develop end-to-end product solutions
Extract deep behavioral insights using AI to automate AEO content creation and personalize the user landing experience.
Optimize marketing capital allocation through sophisticated targeting and bidding optimization strategies.
Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth levers.
Engineer scalable solutions for complex challenges inherent to two-sided marketplace dynamics.

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 paid marketing, and/or growth team focusing on SEO and AEO optimization
Previous experience in LLMs and programmatic content generation

Salary Range

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

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 - Retailer Growth

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