Machine Learning Engineer

About Casap

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. what we’ve built, from everyday users to the biggest names in finance.

Casap is looking for a talented Machine Learning Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and Artificial Intelligence.

Responsibilities

• 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

Qualifications

• 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.