Location: Hybrid (3 days in-office, 2 days remote)
About PayPal:For over 25 years, PayPal has been a pioneer in revolutionizing global commerce. We are the trusted, secure bridge connecting consumers and merchants across 200+ markets—facilitating payments, enabling businesses to thrive, and making transactions seamless. Whether it’s sending money to family through Venmo, buying goods on your favorite online marketplace, or supporting a local business, PayPal powers millions of financial transactions daily. And we’re just getting started.
Our mission: to create a global economy that works for everyone, and we need innovative minds like you to help us make that vision a reality.
The Role:
As a Machine Learning Scientist in PayPal’s Global Analytics & Data Science (GADS) team, you’ll have the opportunity to work with massive datasets and apply cutting-edge machine learning techniques to enhance our products and services. You’ll tackle complex, real-world problems, improving customer experiences and driving impactful results. If you’re passionate about AI, data science, and applying machine learning to solve business challenges, this is the place for you!
What You’ll Do:
- Design and develop advanced machine learning models (neural networks, tree-based models, etc.) to solve key business problems at scale.
- Optimize and fine-tune machine learning models to improve their performance and scalability, ensuring they deliver top-tier results in production environments.
- Leverage PayPal’s vast datasets to extract valuable insights and create predictive models that enhance customer interactions, fraud detection, and product performance.
- Stay ahead of the curve by keeping up-to-date with the latest advancements in machine learning and AI technologies.
- Collaborate closely with cross-functional teams including data engineers, product managers, and business stakeholders to experiment and deliver innovative ML solutions.
- Visualize and communicate complex technical results and insights to non-technical stakeholders in an easily digestible, impactful way.
- Play a key role in shaping PayPal’s data-driven decisions and driving strategic initiatives across the organization.
What We’re Looking For:
Minimum Qualifications:
- PhD in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Operations Research, etc.), or MS with 2-4 years of experience.
- Expertise in machine learning algorithms (supervised/unsupervised learning, deep learning, decision trees, etc.).
- Proficiency in Python, Java, or similar programming languages, with hands-on experience using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL (BigQuery/Hive/Spark).
- Familiarity with cloud platforms (AWS, Google Cloud) and distributed computing environments.
- Excellent problem-solving abilities, able to work both independently and within collaborative teams.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with graph algorithms and graph-based machine learning.
- Familiarity with Reinforcement Learning, Causal Inference, or Self-supervised learning techniques.
- Experience in anomaly detection, incremental learning, or synthetic data generation.
- Knowledge or experience in the risk domain (fraud detection, financial risk modeling) is a plus.
Why PayPal?
- Global Impact: Your work at PayPal will reach millions of consumers and businesses worldwide, transforming the way people transact and interact with money.
- Innovative Culture: We are a values-driven company that thrives on collaboration, inclusion, and innovation. You’ll work with some of the brightest minds in tech, solving problems that have never been solved before.
- Competitive Compensation: PayPal offers a competitive salary, performance bonuses, equity options, and a range of health benefits to help you live your best life.
- Flexible Work Environment: We understand the importance of work-life balance. PayPal’s hybrid work model offers flexibility, with 3 days in the office and 2 days remote (choose between working from home or one of our office locations).
- Ongoing Learning: PayPal is committed to your growth. We offer continuous learning opportunities, mentorship, and career development resources to help you thrive in your career.
- Inclusive Workplace: We are dedicated to fostering a culture where everyone feels valued and included. PayPal’s diverse workforce mirrors the communities we serve, and we actively take steps to promote diversity and belonging.
Compensation & Benefits:
- U.S. National Pay Range: $72,700 to $176,000, plus potential bonuses, equity, and comprehensive benefits (healthcare, dental, vision, 401k matching, etc.)
- Work-Life Balance: Enjoy our flexible work model, designed to help you succeed both professionally and personally.
- Health & Wellness: Access to top-tier benefits focused on your physical, mental, and financial well-being. Learn more about our benefits here.
Ready to Make an Impact?
If you're a Machine Learning Scientist looking to make a difference at one of the most innovative companies in the world, we’d love to hear from you. Apply today and help us shape the future of global commerce!
