Staff Machine Learning Engineer
San Jose, CA, US
- Pay
$196,500–291,500/year — pay source
Primary Location | Pay Range: San Jose, California: ($196,500.00 - $291,500.00 Annually) Additional Location(s) | Pay Range:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingLead development and optimization of advanced machine learning models
Oversee preprocessing and analysis of large datasets
Deploy and maintain ML solutions in production environments
Integrate ML models into products and services with cross-functional teams
Monitor deployed model performance and make necessary adjustments
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 5+ years relevant experience and a Bachelor's degree, or equivalent education and experience
- Extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Expertise in cloud platforms (AWS, Azure, GCP) and data processing and deployment tools
Qualification wording
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.
Education & alternatives
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:
Tools in this posting
- AWS
- Azure
- GCP
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
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:
Benefits in the posting
Full benefits wording- 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.
From the employer’s posting.
About 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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 10 days ago
- Recorded sightings
- 45
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Sep 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on paypal.eightfold.ai. The employer’s form will show what is required.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Primary Location | Pay Range: San Jose, California: ($196,500.00 - $291,500.00 Annually) Additional Location(s) | Pay Range:
- Location & working pattern
San Jose, CA, US
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:
- Work authorization
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 paypalglobaltalentacquisition@paypal.com. Belonging at PayPal:
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.