Machine Learning Engineer Intern

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PayPal

10,001+ employeesSan Jose, CASoftware Development
Actively hiringPaidSummer 2027Software Development
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About the role#

As a Machine Learning Engineer Intern, you will work with experienced engineers, data scientists, and product teams to build machine learning solutions. You will contribute to data preparation, model development, experimentation, and deployment. This role focuses on developing scalable systems and new experiences across PayPal products and services.

What you'll do#

  • Assist with developing, testing, and optimizing machine learning models and algorithms.
  • Prepare, clean, and analyze datasets to assess quality and identify patterns.
  • Run experiments and evaluate model performance using appropriate metrics.
  • Collaborate with teams to support scalable ML pipelines and monitor models in production.
  • Write clean, maintainable code and document your experiments and technical decisions.
  • Participate in code and design reviews.
  • Stay curious about developments in machine learning and explore new techniques.

What you'll need#

  • Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Computer Engineering, or a related technical field.
  • Must be returning to school in Fall 2027.
  • Experience with at least one programming language such as Python, Java, or C++.
  • Familiarity with machine learning concepts and data structures, algorithms, or statistical concepts.
  • Exposure to machine learning frameworks or tools like scikit-learn or TensorFlow.
  • Strong analytical, problem-solving, communication, and collaboration skills.

Location & details#

  • Location: San Jose, California.
  • Term: Summer 2027.
  • Work Modality: Hybrid (3 days in office, 2 days flexible).
  • Employment Type: Full-time.
  • Compensation: $50-$59 hourly.
  • Note: This position does not offer visa sponsorship.

About PayPal

PayPal operates in the software development industry. It provides financial services for individuals and businesses to conduct transactions. The company specializes in online payments, mobile commerce, and payment security. It is a public company based in San Jose, California, with a workforce of over 10,000 employees.

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