Senior Machine Learning Engineer

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:

What you need to know about the role

This position is part of Global Data Science and Analytics organization. Leading Data Science and Machine Learning solutions development and maintenance for PayPal risk and Back Office Servicing business.

Meet our team

You will be working with Machine Learning experts around the world, solving good variety of business problems from Risk and servicing domain. You will have the opportunity to engage with product, analytics and operation experts to understand the business problems, come up with machine learning solutions, leveraging PayPal’s world class machine learning platform to research and build AI models or products that have direct impact to PayPal customer and operation efficiency.

Job Description:

Your way to impact

You will work as a machine learning scientist to:

• Boost PayPal’s back office efficiency using data science
• Prevent PayPal from fraud and financial crimes.
• Improve PayPal customer experience by providing automation solutions.
• Bring value to PayPal business using internal and external data

Your day to day

In your day to day role you will

• Identify and address data science problems during normal course of work and respond to risk mitigation needs quickly to solve issues with minimum guidance.
• Participate in the formulation and implementation of machine learning solutions
• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results on matters of significance to the business
• Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas. 

What do you need to bring-

• 4+ years of proficiency with machine learning framework and algorithms. For example: deep learning, GBDT, neural network, GBM
• Proficiency with Python and libraries for machine learning such as scikit-learn and pandas, pytorch etc.
• Expertise in analysing, visualizing and manipulating big datasets
• Proficiency with SQL or BigQuery
• Familiarity with Linux and big data
• Impeccable analytical and problem-solving skills 

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.

Any general requests for consideration of your skills, please Join Our Talent Community.