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Software Engineer, Machine Learning in San Jose, California, United States of America at PayPal

Date Posted: 5/16/2022

Job Snapshot

Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Software engineer to design and build PayPal's Enterprise AI Platform democratizing Machine Learning and AI for the company

We are seeking an talented Software Engineer to design and build a world class AI/ML platform for PayPal. Join us as we pursue our disruptive new vision to democratize AI/ML across PayPal to support a diverse set of use cases, from conversational agents that leverage state-of-the-art language models, to payment routing optimization systems, to some of the industry’s most complex graph models that power near real-time risk detection for millions of payments per day. The AI/ML Platform will be pivotal in enabling delightful experiences to our 375 Million Customers and 27+ Million Merchants, in addition to advancing capabilities to win 1 billion daily active users.

The Software Engineer will design and development of Machine Learning platform at scale, winning in the market and delivering on commitments. This stack is being built from the ground up on modern open-source, cloud-based technologies with sponsorship from the highest levels of management to accelerate AI/ML adoption within PayPal Inc. Given the rapid pace and evolution of tools and frameworks in this space, this role will require extensive familiarity as well as ongoing commitment to staying current with many technologies and tools within the data, analytics, and AI/ML space. The team is uniquely positioned to bring together ground-breaking innovations and build solutions for some of the most skilled data science and machine learning teams in the world. 

If you are a software engineer with sharp problem solving, collaboration and communication skills, and if you like to work in a highly collaborative, values-driven environment with passion to innovate, come join our team; together we will build cutting-edge AI/ML solutions and transform the future of financial services for millions around the world!   


  • Design and develop software components for model deployment, inferencing and monitoring to power PayPal's AI and machine learning solutions.

  • Responsible for design, developing, optimizing and troubleshooting critical components of AI/ML Platform.

  • Work closely with customers, Product Owners, Architects, and other partners to influence product roadmap and features for customer facing AI/ML Platform capabilities.

  • Drive AI/ML Platform adoptions through documentation, presentations and demos to customers in the company.

Please note this is not a Data Scientist/Data Engineer position. It is a Software Development position for building AI/ML Platform helping Data Scientists and Data Engineers in the company to develop Machine Learning solutions on the Platform.


  • Solid software development track record in delivering robust, scalable, high-performance distributed systems supporting high volume traffic with low latency.

  • 2+ years’ working experience with a focus on data intensive server-side and/or machine learning platform.

  • In-depth knowledge and hands-on experience with Java/Spring and/or Python programming languages, familiar with best practices, common libraries, concurrent programming, performance tuning, etc. is required.

  • Experience with SOA/microservice architecture and design is preferred.

  • Experience in data & analytics field, including current and emerging technologies in Machine Learning/Deep Learning and Big Data is a plus.

  • In-depth knowledge about end-to-end machine learning workflows and experiences in MLOps is a plus.

  • Experience with cloud machine learning platform (GCP Vertex AI/AWS SageMaker/Azure ML) is a plus

  • Experience with Docker/Kubernetes is a plus

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

Who We Are:

Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit

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

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.



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