below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$145,282–$249,000.
Based on 240 similar postings.
Employer
About PayPal
PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.
PayPal currently has
96 open roles
on FindRole.
Listed pay typically runs
$176,500–$260,754
across 80 roles with salary data.
The Machine Learning Engineer Intern - Summer 2027 role involves joining a team to develop innovative AI and machine learning solutions for products across PayPal, Braintree, Venmo, and Paydiant. Interns will work alongside experienced engineers and data scientists to build scalable systems and improve customer experiences in connected payments. Day-to-day responsibilities include preparing and cleaning datasets, developing and optimizing machine learning models, running experiments, and supporting the deployment of production pipelines. Candidates should possess programming skills in languages like Python, Java, or C++, along with familiarity with frameworks such as scikit-learn and TensorFlow. The role requires a strong grasp of data structures, algorithms, and statistical concepts to solve complex technical challenges within the global payments infrastructure and improve overall system performance.
What does a Machine Learning Engineer earn in California?
Median $235750 from 194 postings across 31 companies.
Develop, test, and optimize machine learning models and algorithms for business and customer needs.
Prepare, clean, and analyze datasets to assess data quality and identify patterns for model development.
Run experiments and evaluate model performance using appropriate methods and metrics.
Support scalable ML pipelines and the deployment and monitoring of models in production.
Write clean, maintainable code and document experiments, results, and technical decisions.
Participate in code and design reviews while following team standards and development practices.
What we're looking for
Currently pursuing a bachelor's or master's degree in computer science, machine learning, 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, C++, or similar.
Familiarity with machine learning concepts through coursework, research, internships, or personal projects.
Exposure to machine learning frameworks or tools such as scikit-learn, TensorFlow, or similar.
Familiarity with data structures, algorithms, data analysis, or statistical concepts.
Strong analytical, problem-solving, communication, and collaboration skills.