Job description

The Company 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 their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or 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 to each other. 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 their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to 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 Summary: Job Description: PayPal, Inc. seeks Staff Machine Learning Engineer in San Jose, CA Job Duties: Develop and implement advanced ML models, such as gradient boosted decision tree, graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform. Design and deploy scalable generative AI solutions as part of the ecosystem. Design and deploy scalable ML/Al solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization. Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with insights and expertise. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Physical Systems, or a closely related field plus four years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Physical Systems, or a closely related field plus six years of experience in the job offered or a related occupation. Special Skill Requirements: 1. Experience with the following: machine learning (ML) models, Reinforcement learning with contextual multiarmed bandits and Neural Bandit. (3 years) 2. Experience with fine tuning LLMd such as Llama, RoBERTa with PyTorch or Tensorflow using algorithms including LoRA (1 year). 3. Experience with the following tools & programming skills: PyTorch, Tensorflow, Scala, Java, and Python (4 years). 4. Experience working on low latency system and writing skills with blogs or papers (2 years). 5. Experience with training, testing and productionizing ranking models for real-time recommendation systems with strict latency constraints. (3 years) 6. Experience with designing highly scalable near real-time feature engineering pipelines using Apache Flink for stream processing, Apache Kafka as queue and Apache Spark for batch feature processing. (3 years) 7. Experience with training, testing and productionizing Two-Tower based Neural Networks for generating personalized recommendations for users. (3 years) 8. Experience with performing statistical analysis for robust unbiased training data using techniques such as power analysis, Inverse Propensity Weighting and Design Effect. (4 years) Additional Responsibilities & Preferred Qualifications : EOE, including disability/vets. 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: $193,978.00-333,500.00 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 careers.pypl.com . 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: Click Here 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 paypalglobaltalentacquisition@paypal.com . 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 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.

Requirements

Must-haves

PayPal, Inc. seeks Staff Machine Learning Engineer in San Jose, CA
Experience with the following: machine learning (ML) models, Reinforcement learning with contextual multiarmed bandits and Neural Bandit. (3 years)
Experience with fine tuning LLMd such as Llama, RoBERTa with PyTorch or Tensorflow using algorithms including LoRA (1 year).
Experience with the following tools & programming skills: PyTorch, Tensorflow, Scala, Java, and Python (4 years).
Experience working on low latency system and writing skills with blogs or papers (2 years).
Experience with training, testing and productionizing ranking models for real-time recommendation systems with strict latency constraints. (3 years)
Experience with designing highly scalable near real-time feature engineering pipelines using Apache Flink for stream processing, Apache Kafka as queue and Apache Spark for batch feature processing. (3 years)
Experience with training, testing and productionizing Two-Tower based Neural Networks for generating personalized recommendations for users. (3 years)
Experience with performing statistical analysis for robust unbiased training data using techniques such as power analysis, Inverse Propensity Weighting and Design Effect. (4 years)
EOE, including disability/vets.
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:
San Jose, California | Salary: $193,978.00-333,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Must be legally authorized to work in the U.S. without sponsorship.
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.

Nice-to-haves

Additional Responsibilities & Preferred Qualifications :
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlaijavapython

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Pto

Paid Time Off

Wellness