Machine Learning Engineer 3

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.

Job Description Summary:

What you need to know about the role- SRE Labs which is part of the PayPal Site Reliability Engineering (SRE) organization is looking for an experienced Data Scientist with strong statistics and predictive analytics background, to help build the next generation solutions powered by AI. This position involves full-time hands-on development in a scrum team. The person is expected to be highly competent technically and be able to collaborate well with engineers & stakeholders. This is an exciting transformative work with a significant impact on delivering business goals for PayPal's Site Reliability Engineering organization. Meet our team PayPal SRE is a continuous engineering discipline that effectively combines software development and systems engineering to build and run scalable, distributed, fault-tolerant systems. The SRE team works together to ensure a continuous improvement to optimize for capacity and performance. SRE Labs enables innovation and builds enterprise-wide platforms to support Reliability.

Job Description:

Your way to impact

Looking for technically strong candidate, with hands on development experience in building predictive use cases, who is self-motivated, team player, with curiosity to learn and grow, exhibiting strong resolve and challenge the status quo, to strive for excellence in everything they do, with good professional and academic track record to be part of a team that deals with high volume of data.

Your day to day

In your day to day role you will,

  • Be a thought leader in understanding the core problems and build relevant analytics based solutions.
  • Harmonize data as required and setup models according to the business logic defined.
  • Conceptualize the analytical solution for the business problem by implementing statistical models.
  • Hands on experience working with Python programming language ,develop API's using Flask/Fast API .
  • Experience working with NLP and build solutions based on Large Language models like BERT and GPT
  • Communicate insights to business & other stakeholders with careful attention to detail, high quality along with effective storytelling.
  • Work in a fast-paced, iterative development environment.
  • Deploy ML models in production.

What Do You Need To Bring-

  • You have a Bachelor/Master’s degree in Computer Science, Computer Engineering, Mathematics or equivalent work experience.
  • You have 3+ years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions.You have experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance.
  • You have good understanding of statistics (e.g. hypothesis testing, statistical inference, regression).
  • You should be able to write production ready code in python to deploy the models
  • You have experience with commonly used ML techniques and models (Regression, Classification, Time-Series Forecasting, Tree Based models, Neural Networks, Statistical techniques etc)
  • You have extensively used large language models to build NLP based solutions .
  • You have knowledge of deep-learning frameworks like Pytorch/Tensorflow
  • You have worked in a scrum team for at least a year and practice agile methodologies.
  • You have good analytical and problem-solving skills.
  • Strong verbal and written communication skills.
  • Flexibility and willingness to learn new technologies and adapt quickly.
  • We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

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:

To learn more about our culture and community visit

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.

REQ ID R0099326

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