Machine Learning Engineer
Listed on 2025-12-24
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Software Development
Machine Learning/ ML Engineer, AI Engineer
Staff Machine Learning Engineer at Pay Pal
Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two‑sided network at scale that connects hundreds of millions of merchants and consumers, providing proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer customers flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds, and to use a variety of funding sources.
This role will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. The engineer will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions, building scalable ML pipelines, ensuring data quality, and deploying models into production environments with the goal of driving business insights and improving customer experiences.
EssentialResponsibilities
- 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.
- 5+ years relevant experience and a Bachelor’s degree or equivalent combination of education and experience.
- Extensive experience with ML frameworks like Tensor Flow, PyTorch, or scikit‑learn.
- Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
The U.S. national annual pay range for this role is $169,500 to $291,500. Actual compensation is based on various factors including work location and relevant skills and experience. The total compensation may include an annual performance bonus, equity, and medical, dental, vision and other benefits. Pay Pal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding.
For more information, visit
Pay Pal offers a flexible work environment, employee shares options, health and life insurance, and more. The balanced hybrid work model provides 3 days in the office and 2 days at the employee’s choice of office or home workspace.
Equal Employment OpportunityPay Pal 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, Pay Pal 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 paypalgloba
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