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

TikTok USDS Joint Venture
San Jose, USA
Volunteer
Internship
Onsite
$45 per hour
Discovered 1 months ago
Machine LearningData AnalysisSQLHiveSparkPython

Full Job Posting

Internship Overview

Join the Payment Data Intelligence team, which applies data science and machine learning to payment services at scale.

The internship focuses on agent-first AI applications for payment scenarios and practical fintech business problems.

The program provides hands-on experience, industry exposure, learning programs, development workshops, and social events.

Responsibilities

  • Design, develop, and deploy ML solutions for payment-related business problems with cross-functional teams.
  • Translate business needs into data-driven and algorithmic approaches.
  • Contribute to fraud detection, risk modeling, user experience optimization, and campaign-effectiveness use cases.
  • Participate in large-scale data processing and feature-engineering workflows.
  • Experiment with ML models and improve data labeling, feature systems, model robustness, and automation.
  • Explore deep neural networks and LLMs in payment-intelligence scenarios.

Minimum 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.
  • Proficiency in large-scale data tools such as SQL, Hive, or Spark.
  • Proficiency in Python, Java, or Scala.

Preferred Qualifications

  • Strong analytical thinking and problem-solving ability.
  • Experience in ML, risk modeling, recommendation systems, trust and safety, or fintech.
  • Familiarity with deep learning or LLM applications.

Workplace

  • The company is shifting to a fully in-person schedule of up to five days per week.

Compensation

  • The hourly rate for this position in the selected city is $45 per hour.
  • Interns have day-one access to health insurance, life insurance, wellbeing benefits, paid holidays, and paid sick time.
  • Interns who are not working 100% remotely may be eligible for a housing allowance.

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