Machine Learning Engineer
Summary
Build and deploy ML models to detect fraud and disputes, and orchestrate automated decision-making for a fintech platform.
Machine Learning Engineer
Location: New York, San Francisco
Department: Engineering
Location Type: HYBRID
Employment Type: FULL_TIME
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
What You’ve Done
- 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