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Machine Learning Director

Lead machine learning initiatives at PayJoy, a mission-driven credit provider serving emerging markets.

Location
San Francisco, CA
Compensation
Not disclosed
Level
director
Type
Not specified

Posted by employer 3 weeks ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at PayJoy → Save job Scanned from payjoy.com

AI in the day-to-day

Through our cutting-edge machine learning, data science, and anti-fraud AI.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

The Machine Learning Director at PayJoy will lead the development and implementation of advanced machine learning models to enhance the company's credit offerings and fraud detection capabilities. This role requires expertise in machine learning, data science, and AI, along with strong leadership skills to guide a team of data professionals. It is well-suited for a senior candidate with a background in financial technology or credit systems, particularly those passionate about using technology for social impact. PayJoy's mission-driven approach and focus on underserved markets add a unique dimension to the role.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Data Science, Machine Learning, anti-fraud AI.
What seniority level is this role?
PayJoy targets director candidates for this position.

From the original posting

About PayJoy   PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success.  Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system.  Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life.  PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.   This role

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