Join PayJoy as a Machine Learning Engineer to leverage cutting-edge AI in fraud detection for underserved markets.
Posted by employer 2 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Through our cutting-edge machine learning, data science, and anti-fraud AI.
Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Machine Learning Engineer focuses on developing and optimizing algorithms to detect and prevent fraudulent activities within PayJoy's credit systems. Proficiency in machine learning frameworks, data analysis, and programming languages like Python is essential for success. This position is ideal for experienced engineers with a strong background in data science and a passion for applying technology to social impact. PayJoy's commitment to serving underserved markets adds a meaningful dimension to the work, emphasizing the importance of ethical technology in finance.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from PayJoy's career page.
- PayJoy has 90 other open roles including Compensation and People Operations Senior Partner, Total Rewards Analyst, Automation & AI Analyst.
- 799 active Machine Learning roles on Joblaze right now.
- 248 active Data Science roles on Joblaze right now.
- 13 active anti-fraud AI roles on Joblaze right now.
- Typical Machine Learning salary we track runs $145,000–$230,000 (median $185,000, across 356 roles). See Machine Learning salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Data Science, Machine Learning, anti-fraud AI.
From the original posting