Machine Learning Engineer

3 Weeks ago • 3-5 Years

About the job

SummaryBy Outscal

PayPal seeks a Machine Learning Engineer with 3-5 years of experience to build AI/ML platform in cloud for Recommendation models at scale. Must have expertise in distributed systems, cloud infrastructure, ML operations, programming languages (Python, Java, Scala), Big Data technologies, and machine learning libraries/frameworks.

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:

We are seeking a talented Engineer to join our AI/ML Platform and Solutions organization. In this role, you will be part of building PayPal AI platform in cloud for Recommendation models at scale, enabling real-time feature processing, with vector & graph stores, while optimizing performance & compute costs. You will collaborate with global, cross-functional teams from both Business and Technology domains to meet complex business demands.

Job Description:

Meet our team 

We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Machine Learning Engineer to join our AI/ML Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. 
 
Your day-to-day 

·       Designing and building large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle

·       Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements, deliver innovative solutions, and ensure the availability, reliability, and scalability of ML Platform

·       Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, and drive successful project outcomes.


Qualifications: 

·       3-5 Years of experience with a Bachelors degree

·       2-4 Years of experience with a Masters degree

·       The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations

·       Solid Understanding of  machine learning concepts, algorithms, and techniques, developing and deploying machine learning models.   

·       Expert in multiple Programming/scripting languages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala. 

·       Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. 

·       Expertise with NoSQL database like HBase, Redis, Aerospike. 

·       Proven experience with distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. 

·       Experience with cloud platforms (e.g., AWS, Azure,GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience in Azure is a plus 

·       Good understanding of machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn, etc.   

Additional Job Description:

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

$72700 to $176000

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.

$72.7K - $176.0K/yr (Outscal est.)
$124.3K/yr avg.
San Jose, California, United States

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