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Staff Machine Learning EngineerPayPal • Austin, Texas, United States of America
Staff Machine Learning Engineer

Staff Machine Learning Engineer

PayPal • Austin, Texas, United States of America
30+ days ago
Salary
$196,500.00 yearly
Job type
  • Full-time
Job description

Description

:

Essential Responsibilities:

  • Lead the development and optimization of advanced machine learning models.
  • Oversee the preprocessing and analysis of large datasets.
  • Deploy and maintain ML solutions in production environments.
  • Collaborate with cross-functional teams to integrate ML models into products and services.
  • Monitor and evaluate the performance of deployed models, making necessary adjustments.

Minimum Qualifications:

  • 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Additional Responsibilities & Preferred Qualifications:

Subsidiary:

PayPal

Travel Percent:

0

-

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 | ($196,500.00 - $291,500.00 Annually)

Additional Location(s) | Pay Range:

Austin, Texas | ($178,500.00 - $265,100.00 Annually) Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

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 .

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.

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

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 .

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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Staff Machine Learning Engineer • Austin, Texas, United States of America

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