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Staff Software Engineer - ML Platform in Chicago, Illinois, United States of America at PayPal

Date Posted: 6/3/2022

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.

Engineering at Venmo and PayPal At Venmo and PayPal, we are creating a product that people love. We strive to create a delightful user experience while connecting the world and empowering people through payments. We are looking for intellectually curious people who want to be inspired and inspire others to change the world. Engineering is a craft, and at Venmo we want the internals of our software to be as elegant as the end user experience we are designing. We spend our days scaling our capacities and building new features to meet and exceed our user’s needs and wants. We teach and learn from one another and push each other to be at our creative and analytical best. Venmo Consumer Relevance Venmo is the fastest growing peer-to-peer financial brand and keeps innovating in the tech industry. The Venmo Consumer Relevance team is looking for a talented Staff Software Engineer, Machine Learning Platform to help build our next generation of data products and Machine Learning services. We derive valuable insights from our extensive, rich and rapidly growing datasets to improve the daily experience of our customers. This role is critical to the engineering team and will be deeply embedded within multi-disciplinary teams across the company.

What You’ll Do:

  • Work closely with Machine Learning Engineers to transform ML-trained models into ML applications and services.
  • Build scalable machine learning infrastructure to support key Venmo systems (Search, Feed, Social Graph).
  • Contribute across the full lifecycle of machine learning development from discovery to deployment).
  • Build tools that improve machine learning development speed and quality.

Required Qualifications:

If you’re on the fence about whether you meet all of the requirements for this role, please apply! 

  • 4+ years of industry experiences in building software and services to support the development of machine learning applications.
  • Proficiency in Python, Scala or Java.
  • Hands on experience building large-scale platform infrastructure.
  • Knowledge of software engineering, data structures, and algorithms.
  • Passion and intellectual curiosity for the social science and FinTech domains.

Preferred Qualifications:

  • Experience building recommendation, search, and graph applications.
  • Experience with AWS Sagemaker or Vertex AI.
  • Experience with data engineering technologies such as Spark, EMR, Glue, Kafka/Kinesis.
  • Have a deep understanding of experimental design and architecture at scale.
  • Basic knowledge of machine learning and data science.

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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