senior machine learning Applied Scientist ic
$196,000 – $269,500
USD per year

About this role

Faire is hiring a senior-level Applied Scientist in the machine learning function based in San Francisco, CA. The posting calls out experience with SQL, Data Structures, Machine Learning, A/B Testing. Compensation is listed at $196,000–$269,500 per year.

Role
Applied Scientist
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
San Francisco, CA
Department
Algorithms & Data

More roles at Faire

Growth Marketing Manager, Paid Social
New York City, NY | San Francisco, CA · mid
SQL Tableau Data Visualization
GTM Strategy & Operations Lead
San Francisco, CA · senior
SQL Machine Learning
GTM Strategy & Operations Senior Lead, Fulfillment
San Francisco, CA · senior
SQL Machine Learning
HRBP, Operations and Revenue
San Francisco, CA · mid
Machine Learning
IT Support Engineer
San Francisco, CA · mid
Python Jira Okta
All Faire jobs →

Job description

from Faire careers

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

The Ads Data team is building the next generation of advertising products for the wholesale industry. As a key member of this team, you’ll shape the future of our ads marketplace and auction system at Faire—spanning auction design, bidding strategy, pacing, pricing, and budget optimization. Our in-house stack gives us unique end-to-end ownership, and our first-party conversion data allows us to train highly effective models and optimize for real, business-critical outcomes on behalf of our brands.

This is an excerpt. Read the full job description on Faire careers →
All machine learning jobs machine learning in San Francisco, CA Jobs in San Francisco, CA machine learning salaries machine learning career path
All Faire Jobs Browse machine learning roles senior positions