Location

This is a hybrid role based out of our San Francisco, CA or New York, NY office. Our team works in-office time on Mondays, Wednesdays, and Fridays.

What You'll Do

Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud
Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes
Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience

3+ years of experience designing and deploying ML models in a high-scale production environment
Strong knowledge of machine learning algorithms and data analysis techniques
Enthusiastic about building ML infrastructure from scratch in a nascent environment
Ability to think like a product engineer, balancing technical innovation with practical application and user needs.
Strong proficiency in programming languages like Python, R, or similar, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
Excellent problem-solving skills and the ability to work independently and in a collaborative team environment