Machine Learning Engineer

The Company

PayPal has been at the forefront of global commerce transformation for over 25 years. By creating innovative experiences that simplify, personalize, and secure financial transactions, PayPal empowers consumers and businesses across nearly 200 markets to thrive in the global economy.

Our global, two-sided network connects hundreds of millions of merchants and consumers, facilitating transactions both online and in person. Unlike third-party payment networks, PayPal offers proprietary payment solutions that enhance transaction completion and customer satisfaction.

With our services, customers can easily purchase and receive payments for goods and services, transfer and withdraw funds, and engage in safer exchanges using various funding sources. These sources include bank accounts, PayPal or Venmo balances, PayPal and Venmo credit products, credit/debit cards, certain cryptocurrencies, gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products ensure safe and simple fund transfers between friends and family. For merchants, our comprehensive payment solutions provide authorization, settlement, and immediate access to funds, while also helping manage customer connections, exchanges, returns, and risk.

Our core values of Inclusion, Innovation, Collaboration, and Wellness guide our daily business conduct. These values ensure we work together as a global team with a focus on customer-centric service and community well-being.

Job Description Summary

GADS is seeking a Machine Learning Scientist passionate about solving problems in consumer product and marketing domains. Utilizing state-of-the-art machine learning techniques, you will tackle challenging business problems and drive PayPal's key KPIs. As a Machine Learning Scientist at PayPal, you will leverage our extensive big data platform to innovate and enhance our data science and machine learning capabilities, thereby improving customer experiences.

Job Description

This role is crucial for PayPal’s advanced Machine Learning models in the product and marketing domains. You will work on models that enhance customer experience, optimize marketing campaign ROI, detect abuse in marketing campaigns, and address ranking and recommendation challenges.

As a Machine Learning Scientist, you will:

• Develop cutting-edge Machine Learning solutions for impactful business challenges.
• Collaborate with partners to translate business challenges into data science problems and provide actionable insights.
• Automate and productionalize large-scale data solutions in partnership with our engineering teams.
• Hold a Master's degree or equivalent experience in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Engineering, AI) with at least 1 year of industry experience, or a PhD with research experience.
• Experience in recommendation, ranking, product, and marketing domains is highly desirable.
• Proficiency in programming languages such as Python, Java, Scala, SQL, or Hive.
• Familiarity with machine learning frameworks and packages like Tensorflow and PyTorch.
• Experience with GCP/Hadoop and big data is an advantage.
• Knowledge of deep learning, reinforcement learning, graph modeling, learning to rank, recommendation systems, growth marketing models, and regression modeling is a plus.
• Strong communication skills in English for effectively exchanging requirements, explaining methodologies, and providing insights to business and engineering partners.

We encourage candidates to apply even if they do not meet every qualification, as the confidence gap and imposter syndrome can hinder talented individuals from applying.

Recent Graduate Position Information and Requirements

• This is a full-time position for recent graduates.
• Applicants must have graduated within the past 12 months or be graduating by Spring 2025 with a PhD in Computer Science or a related field.
• Residency in the U.S. is required.
• Applicants must be able to obtain authorization to work in the U.S.

PayPal's hybrid work model generally requires employees to spend 3 days in the office for in-person collaboration and allows for 2 days working either from the office or from a home workspace.

Our Benefits

At PayPal, we value our employees as our most significant asset and provide benefits to help you thrive at every life stage. We support your financial, physical, and mental health with comprehensive benefits and resources. Learn more about our benefits at .

Who We Are

Learn more about our culture and community by visiting