Machine Learning Engineer

PayJoy is revolutionizing financial services in emerging markets by leveraging smartphone technology and advanced AI/ML capabilities. As a Machine Learning Engineer, you'll be at the forefront of developing and deploying critical ML models for fraud detection, credit risk assessment, and customer behavior analysis. The role offers a unique opportunity to impact millions of lives across Latin America, South Africa, and APAC regions by improving access to credit and technology.

You'll be responsible for the complete ML lifecycle, from feature engineering to production deployment, working with cutting-edge technologies and handling large-scale data operations. The position requires collaboration with global teams across risk, fraud, engineering, and product departments to create sophisticated data science solutions that power PayJoy's innovative financial products.

The ideal candidate brings 3+ years of hands-on experience in machine learning engineering or data science, with strong Python skills and deep understanding of ML frameworks. You'll work in a fast-paced, mission-driven environment where your work directly contributes to financial inclusion in underserved markets. PayJoy offers competitive benefits, including comprehensive health insurance, professional development opportunities, and various perks supporting work-life balance.

This hybrid role based in Mexico City offers the perfect blend of flexibility and collaborative work environment. You'll be joining a company that has already impacted 15 million customers and continues to grow while maintaining profitability. If you're passionate about using technology to solve real-world problems and want to be part of a diverse, inclusive team that's making a difference in global financial services, this role presents an excellent opportunity for career growth and meaningful impact.