Machine Learning Engineer
Job Description
Casap, a promising Series A startup that has secured over $30M in funding from prestigious investors including Emergence, Lightspeed, and Primary Ventures, is revolutionizing the banking industry through dispute automation and friendly fraud prevention. Founded by former product leaders from Robinhood and Chime, the company has established itself as an innovative force in the fintech sector.
As a Machine Learning Engineer at Casap, you'll be at the forefront of applying AI to transform banking operations. The role offers an exciting opportunity to build and implement sophisticated ML models that directly impact the company's core mission of automating disputes and fraud detection. You'll be working with cutting-edge technology while developing solutions that serve both everyday users and major financial institutions.
The position requires a strong technical background in machine learning, with hands-on experience in developing and deploying models at scale. You'll be responsible for creating an intelligent orchestration layer that enables both automated and supervised decision-making processes. The role combines technical expertise with practical problem-solving, requiring someone who can balance innovation with real-world applications.
Working in a hybrid environment from either San Francisco or New York City, you'll be joining a rapidly growing team that's already receiving recognition in the industry. The company's success is evidenced by positive reception from both users and financial institutions, making this an excellent opportunity for someone looking to make a significant impact in the fintech space while working with advanced machine learning technologies.
Responsibilities For Machine Learning Engineer
- 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
Requirements For Machine Learning Engineer
- 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
