Machine Learning Engineer Intern (Payment Data Intelligence) - 2027 Summer

Public source summary from intern-list.com / Jobright.

TikTok USDS Joint Venture operates a payment team that builds secure, reliable payment capabilities and applies data science and machine learning to payment intelligence. The Machine Learning Engineer Intern will design, develop, and deploy ML solutions for payment-related problems, contributing to fraud detection, risk modeling, user experience optimization, and advanced AI applications.

Responsibilities

Work with product, strategy, engineering teams to design, develop, and deploy ML solutions for payment-related business problems Translate business needs into data-driven and algorithmic approaches Contribute to use cases such as fraud detection, risk modeling, user experience optimization, and campaign effectiveness Participate in data processing and feature engineering workflows at scale Experiment with ML models and improve components of the model lifecycle (data labeling, feature systems, model robustness, automation) Explore advanced AI techniques (deep neural networks, LLMs) in payment intelligence scenarios

Qualifications: Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field Able to commit to a 12-week internship during Summer 2027 Strong foundation in machine learning, data analysis, and programming Proficient in large-scale data tools: SQL, Hive, or Spark Proficient in Python, Java, or Scala Strong analytical thinking and problem-solving ability Experience in ML, risk modeling, recommendation systems, trust & safety, or fintech Familiarity with deep learning or LLM applications

Benefits: Hands-on experience Industry exposure Opportunities to apply knowledge to real-world challenges Building a strong foundation for personal and professional growth Practical experience Opportunities to explore potential career paths Social events Learning programs Development workshops alongside industry professionals