Machine Learning Engineering Manager
Description For Machine Learning Engineering Manager
PayJoy is a mission-driven financial service provider revolutionizing access to credit in emerging markets through innovative smartphone-based lending technology. As of 2024, they've provided billions in credit to 12 million customers while maintaining profitability. The Machine Learning Engineering Manager role is a crucial leadership position responsible for overseeing the entire ML modeling lifecycle, from feature generation to deployment. The role involves leading a talented team of ML engineers, developing and optimizing models for fraud detection, credit risk, and other critical applications.
The ideal candidate will bring 5+ years of technical experience and 2+ years of leadership experience, combining strong technical ML expertise with people management skills. They'll work at the intersection of data science, engineering, and business, collaborating with global teams to deliver impactful solutions. The position offers the opportunity to work on meaningful problems that directly affect financial inclusion while using cutting-edge ML technologies.
The role offers competitive benefits including comprehensive health coverage, professional development opportunities, and various perks. PayJoy's culture emphasizes principles like ownership, transparency, work-life balance, and diversity, making it an ideal environment for those passionate about using technology for social impact while growing their career in ML leadership.
Responsibilities For Machine Learning Engineering Manager
- Lead and manage a team of machine learning engineers to deliver high-quality and scalable ML models
- Provide mentorship, guidance and career development to ML engineers
- Drive development of new machine learning models for different markets
- Collaborate with global teams including Risk, Fraud, Engineering and Product
- Lead testing, cost-benefit analysis and integration of new data sources
- Work with ML Platform team to implement scalable feature generation and model deployment
Requirements For Machine Learning Engineering Manager
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience as a data scientist, machine learning engineer, or data engineer
- 2+ years of experience leading and scaling high-performing teams
- High proficiency in Python and related libraries (Scikit-Learn, Pandas, Flask)
- Comprehensive knowledge of ML life cycle
- Experience with cloud providers (AWS preferred) and containerization
- Good verbal and written communication skills in English
- Ability to work in a fast paced environment
Benefits For Machine Learning Engineering Manager
- 100% Company-funded Health and Dental insurance for employees and family
- Phone finance, Headphone, home office equipment and fitness perks
- $2,000 USD annual Co-working Travel perk
- $2,000 USD annual Professional Development perk
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