Job Summary:

Job Description:

PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA

Job Duties: Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models. Work with large volumes of data, including extracting insights and manipulating big data covering a wide range of information. Collaborate with other ML scientists and engineers to formulate innovative solutions, experiment, and implement advanced ML techniques to solve business problems. Clearly and effectively communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders of varying technical levels. Build credit models to predict delinquency, fraud and repayment behavior for merchant loans, conduct experiments to improve model performance and facilitate model deployment. Ensure credit models solve business problems, ensure models' compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience. Partial telecommuting permitted from a commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Mathematics, Statistics, or a closely related field in the job offered or a related occupation.

Special Skill Requirements:

1. Develop and deploy machine learning models using Python, including NumPy and PyTorch frameworks.

2. Write and optimize SQL queries in Google BigQuery or HiveQL for high-volume data extraction, transformation, and feature engineering.

3. Implement deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers.

4. Apply natural language processing (NLP) techniques for text analytics and language understanding.

5. Conduct experimental design for model building and selection methods.

6. Perform statistical analysis including regression modeling and hypothesis testing.

7. Create analytical visualizations in Python and/or Excel to communicate data insights.

8. Programming on Unix command line and Bash scripting.

9. Use Git for source-code management.

10. Experience in Jupyter Notebooks and/or Google Colab for interactive analysis and modeling.

Additional Responsibilities & Preferred Qualifications:

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, California | Salary: $187,741.00-270,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:
PayPal

Travel Percent:
0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

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 comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

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.