Sezzle
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
Principal Machine Learning Engineer
🕒 April 1
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Sezzle
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
📋 Description
• Overseeing the design, development, and deployment of machine learning models. • Drive the creation of scalable machine learning solutions for personalized recommendations, fraud detection, and credit risk assessment. • Collaborate with engineers and data scientists to build large-scale solutions.
🎯 Requirements
• Bachelor's degree in Computer Science or a relevant technical field, or equivalent practical experience. • 6+ years of experience in machine learning engineering, deploying scalable ML models in production.
🏖️ Benefits
• Competitive salary • Professional development opportunities • Remote work options
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