Senior Machine Learning Engineer

The Company

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. 

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. PayPal 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 PayPal or Venmo account balance, PayPal 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 PayPal, 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 Description Summary:

What you need to know about the role-

PayPal Global Analytics and Data Science team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP products. This is an excellent opportunity to join a team of intelligent and passionate engineers and scientists and to help shape the future of the Credit Business at PayPal.

Meet our team

PayPal GADS team is responsible for building PayPal ML/AI solutions that drive impact across PayPal. We build innovative solutions that interact with customers throughout the product lifecycle with a strong focus on driving PP growth and business.

Job Description:

• Your way to impact:

  • Identify AI ML opportunities and build solutions that impact the business 

  • Explore and execute to get solid results

  • Impact team, partners and business through PayPal values

  Your day to day:

  In your day to day role you will 

  • Lead ML Projects and Conduct research to identify new and innovative ML techniques. 

  • Innovate to create efficiencies for the team and the business.

  • Work closely with other engineers and technical leaders to implement and optimize ML models.

  • Develop and implement best practices for ML model management, deployment, and monitoring. 

  • Collaborate with other teams to ensure ML models are integrated into the product and services.

  • Assist with troubleshooting and resolving technical issues.

  • Responsible for documentation, project tracking, and quality controls. 

   

  What do you need to bring:

  • The ideal candidate will possess a degree in engineering, science, statistics or mathematics with strong technical background in machine learning. 

  • We are looking for candidates who have excellent communication skills, an analytical mindset, and a passion for problem-solving. 

  • Candidates should have experience with solving Machine learning problems in credit or collections business across geographies

  • 7+ years of hands-on experience with problem-solving using Machine Learning

  • Hands-on experience with Python, along with relevant technologies such as Spark, Hadoop, BigQuery, SQL, is required.

  • Candidates should have in-depth knowledge of machine learning algorithms, and explainable AI methods.

  • Experience with Cloud frameworks such as GCP, AWS is preferred. 

  • Experience with Lending and Financial services is a plus. 

  For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

  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.

  Commitment to Diversity and Inclusion 

  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.  

  Belonging at PayPal: 

  Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

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

  We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

• Additional Job Description
• Job Families for Job Profiles
  Machine Learning

Subsidiary:

PayPal

Travel Percent:

0

-

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is

$84500 to $204600

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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.

Commitment to Diversity and Inclusion 

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 talentaccommodations@paypal.com.

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

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

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.