Machine Learning Engineer

About the Company

Casap is a Series A startup that has raised over $30M from Emergence, Lightspeed, and Primary Ventures. Based in San Francisco, the company was founded by product leaders from Robinhood and Chime. We are on a mission to change the way banks operate by automating disputes and fighting friendly fraud.

Responsibilities

• Develop and implement machine learning models to evaluate disputes, 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

Requirements

• 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
• Proficiency in Python, R, or similar programming languages
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Ability to build ML infrastructure from scratch in a nascent environment
• Product-oriented engineering mindset to balance innovation with user needs