Machine Learning Engineer PhD Intern

PayPal

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Employment
Intern
Posted
1 day ago
Freshness
Confirmed live today
Closes
May 4, 2027

Market check

Salary context

How this pay compares to similar roles

Similar $194k
$125k $278k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $139,479–$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.

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At a glance

TL;DR · Machine Learning Engineer PhD Intern

The Machine Learning Engineer PhD Intern will join a team of engineers and data scientists to research, develop, and evaluate machine learning solutions. This role involves conducting applied research to solve complex business challenges, designing and building models, and analyzing large datasets to generate actionable insights. The intern will contribute to developing and deploying machine learning pipelines in production environments while monitoring model performance and reliability. Key technical requirements include proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. The work focuses on leveraging advanced machine learning and data-driven insights to streamline compliance processes and strengthen risk mitigation within a global financial services context, ensuring a secure and seamless experience for users.

What does a Machine Learning Engineer earn in California?

Median $235750 from 194 postings across 31 companies.

See salary data

What you'll do

  • Conduct applied research to develop machine learning solutions for complex business challenges.
  • Design, build, and evaluate machine learning models to assess effectiveness and reliability.
  • Analyze data and conduct experiments to generate insights for model development.
  • Contribute to the development and deployment of machine learning pipelines in production environments.
  • Monitor model performance to identify opportunities for improving outcomes and efficiency.
  • Document research, experiments, and technical decisions for technical and non-technical audiences.
  • Stay informed about machine learning developments and assess their relevance to PayPal products.

What we're looking for

  • Currently pursuing a PhD in computer science, machine learning, statistics, data science, computer engineering, or a related technical field.
  • Must be returning to school in Fall 2027.
  • Strong foundation in machine learning and statistics with research experience developing and evaluating models.
  • Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
  • Strong analytical, communication, and collaboration skills.
  • Relevant research publications (preferred).
  • PhD degree.

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