Machine Learning Engineer 2
Published | October 28, 2022 |
Location | Chennai, India |
Category | Machine Learning |
Job Type | Full-time |
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:
Design and develop Machine Learning models Understand the Product, Business Requirements Propose the approaches and methods to solve Perform statistical analysis, Metrics and fine-tune models using test results. Explore available datasets online for training purposes. Train, evaluate, experiment and re-train ML systems and models as necessary. Extend and enrich existing ML frameworks and libraries. Research, experiment with, and implement suitable ML algorithms and tools. Analyze the problem-solving capabilities and use-cases of ML algorithms Build maps to Visualize data for better understanding and identify differences in data distribution Awareness on real-world scenarios Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Keeping abreast of developments in machine learning.
Job Description:
Design and develop Machine Learning models
Understand the Product, Business Requirements
Propose the approaches and methods to solve
Perform statistical analysis, Metrics and fine-tune models using test results.
Explore available datasets online for training purposes.
Train, evaluate, experiment and re-train ML systems and models as necessary.
Extend and enrich existing ML frameworks and libraries.
Research, experiment with, and implement suitable ML algorithms and tools.
Analyze the problem-solving capabilities and use-cases of ML algorithms
Build maps to Visualize data for better understanding and identify differences in data distribution
Awareness on real-world scenarios
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
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:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
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.com.
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.
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 R0094785