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Machine Learning Engineer PhD Intern - Summer

Listing for: Honey
Full Time, Seasonal/Temporary, Apprenticeship/Internship position Listed on 2026-11-10
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 59 - 66 USD Hourly USD 59.00 66.00 HOUR

Job Description & How to Apply Below

The Company

Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third‑party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.

Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end‑to‑end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk.

We enable consumers to engage in cross‑border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross‑border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

MLE PhD Intern plays a critical role in ensuring Pay Pal’s adherence to a complex and evolving landscape of local and global regulations. By leveraging advanced machine learning, cutting‑edge research, and data‑driven insights, we design innovative solutions that streamline compliance processes, strengthen risk mitigation, and empower Pay Pal to deliver a secure, trusted, and seamless financial experience worldwide.

Job Description:

As a Machine Learning Engineer PhD Intern, you will work with experienced engineers, data scientists, and product teams to research, develop, and evaluate machine learning solutions. You’ll take on complex technical problems, work with large datasets, and contribute to model development and deployment. You should be comfortable applying advanced machine learning knowledge, communicating your findings, and collaborating to bring solutions into Pay Pal products and services.

Essential Responsibilities:
  • Conduct applied research to identify and develop machine learning solutions for complex business challenges.
  • Design, build, and evaluate machine learning models, using appropriate methods to assess their effectiveness, reliability, and suitability for use.
  • Analyze data and conduct experiments to generate insights and guide model development.
  • Collaborate with engineers, data scientists, and cross‑functional partners to translate business needs into scalable machine learning solutions.
  • Contribute to the development and deployment of machine learning pipelines and solutions in…
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