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PayPal

Machine Learning Engineer

PayPal, San Jose, California, United States, 95199

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Machine Learning Engineer

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About PayPal PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal 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. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third‑party payment networks.

We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use account balances to purchase or receive payments for goods and services, and to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, including bank accounts, PayPal or Venmo balances, branded credit products, debit cards, certain cryptocurrencies, gift cards, and other stored value products such as gift cards and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds. We offer merchants an end‑to‑end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross‑border shopping and help merchants extend their global reach while reducing the complexity and friction involved in enabling cross‑border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary This role will assist in designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities

Assist in the development and optimization of machine learning models.

Preprocess and analyze datasets to ensure data quality.

Collaborate with senior engineers and data scientists on model deployment.

Conduct experiments and run machine learning tests.

Stay updated with the latest advancements in machine learning.

Expected Qualifications

1+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.

Familiarity with ML frameworks like TensorFlow or scikit-learn.

Strong analytical and problem-solving skills.

Additional Responsibilities And Preferred Qualifications PayPal is committed to fair and equitable compensation practices.

Compensation Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is $111,500 to $191,950.

Benefits 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.

Work Environment 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.

Job Information

Seniority level: Not Applicable

Employment type: Full‑time

Industries: Software Development, Financial Services, and Technology, Information and Internet

Location Options Santa Clara, CA – $175,000.00–$350,000.00 – 4 days ago

San Jose, CA – $120,700.00–$228,600.00 – 1 week ago

San Jose, CA – $120,700.00–$228,600.00 – 2 weeks ago

San Francisco Bay Area – $130,000.00–$180,000.00 – 2 weeks ago

San Jose, CA – $120,700.00–$228,600.00 – 2 weeks ago

San Jose, CA – $142,700.00–$257,600.00 – 2 weeks ago

Mountain View, CA – $158,400.00–$229,125.00 – 1 week ago

San Jose, CA – $111,500.00–$191,950.00 – 1 month ago

Mountain View, CA – $124,500.00–$186,500.00 – 1 week ago

San Francisco Bay Area – $155,000.00–$265,500.00 – 2 weeks ago

Sunnyvale, CA – $118,000.00–$188,400.00 – 2 weeks ago

San Jose, CA – $109,000.00–$192,400.00 – 2 weeks ago

Mountain View, CA – $114,000.00–$189,000.00 – 2 weeks ago

Equal Employment Opportunity Statement 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.

Additional Information REQ ID R0132276

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