Machine Learning Engineer

Location: New York, San Francisco

Department: Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

Location

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