At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

Meet our team
Global Analytics & Data Sciences (GADS) serves as PayPal's enterprise Analytics & Data Science Solution(s)/Service(s) provider, consisting of different vertical and horizontal sub-portfolios such as consumer, merchant, risk, credit, customer operation, etc. Compliance & Privacy is a portfolio under GADS supporting Compliance & Privacy domains to enable us to fulfill regulatory requirements around Anti-Money Laundering (AML), Brand Risk Management (BRM), Sanctions Screening, and Know Your Customer (KYC). We are developing AI/ML solutions to better aid detection, assisted investigation experience, and automated decisions.

Your way to impact-
We seek a dynamic and enthusiastic Machine Learning Engineer/Scientist to join our team. This role focuses on developing cutting-edge machine learning and deep learning solutions tailored to the compliance and privacy domains. If you are driven by innovation and possess a strong passion for machine learning technologies, we are excited to welcome you aboard!

Job Description:

What you need to know about the role-

Meet our team
Global Analytics & Data Sciences (GADS) serves as PayPal's enterprise Analytics & Data Science Solution(s)/Service(s) provider, consisting of different vertical and horizontal sub-portfolios such as consumer, merchant, risk, credit, customer operation, etc. Compliance & Privacy is a portfolio under GADS supporting Compliance & Privacy domains to enable us to fulfill regulatory requirements around Anti-Money Laundering (AML), Brand Risk Management (BRM), Sanctions Screening, and Know Your Customer (KYC). We are developing AI/ML solutions to better aid detection, assisted investigation experience, and automated decisions.

Your way to impact-

We seek a dynamic and enthusiastic Machine Learning Engineer/Scientist to join our team. This role focuses on developing cutting-edge machine learning and deep learning solutions tailored to the compliance and privacy domains. If you are driven by innovation and possess a strong passion for machine learning technologies, we are excited to welcome you aboard!

Your day to day –

• Design, develop, and optimize advanced machine learning and deep learning models to solve real-world problems.
• Collaborate with cross-functional teams across various time zones to understand business requirements and transform them into robust technical solutions.
• Mentor junior team members and provide technical guidance.
• Lead code reviews and ensure best practices in software development and machine learning.
• Continuously evaluate emerging technologies or methodologies to improve the team's capabilities and maintain industry leadership.

What do you need to bring-

• 4+ years’ work experience as a Machine Learning Engineer/Scientist or similar role.
• Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
• Experience with end-to-end machine learning project lifecycle, from conception to production.
• Passionate to learn the state-of-the-art machine learning framework and algorithms in academia and industry.
• Proven experience in employing mathematical, statistical, and machine learning methods on real-world problems
• Proficient in data mining and familiar with SQL, BigQuery, Python, etc.
• Proficient in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Knowledge of specialized areas such as NLP or computer vision.
• Exceptional written and verbal communication skills in English, capable of influencing cross-functional teams.
• Industry experience in compliance and privacy domains is a plus.
• Experience working in a multinational company is a plus.
• Familiarity with Large Language Models (LLMs) is a plus.
• is a plus.
• Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications are pluses.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

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