Sr Machine Learning Engineer

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: Requested Information for GTA: • Foreign National’s Name Qinwen Wang • PID 00348457 • Manager Name / Supervisor Org Jihang Wang • Requisition type: Labor Market Test for FILE # L24-158774 • Job Posting Title Sr Machine Learning Engineer • Job Profile/level 5 • Work Type: Regular or Intern Regular • Time Type: Full-Time or Part-time Full-Time Position Text (please paste exactly as listed below): PayPal, Inc. seeks Sr Machine Learning Engineer in Austin, TX Job Duties: Evaluate and validate high-impact statistical and AI/ML models across key business areas. Perform comprehensive quantitative and qualitative model validation in alignment with internal Model Risk Management (MRM) Policy and industry standards. Assess model data integrity, design soundness, and performance robustness to identify and report potential risks and deficiencies. Provide risk oversight on the engineering, automation, and production deployment of sophisticated machine learning models. Build scalable systems with Python and cloud platforms, and architect end-to-end pipelines for real-time data ingestion, model serving, and monitoring. Lead technical projects, coordinate project roadmaps, and mentor junior engineers while integrating cutting-edge methods in deep learning and generative AI. Ensure system reliability, regulatory compliance, and technical innovation through collaboration with DevOps, IT, and business partners. Drive transformative change across products and services through continuous improvement, advanced model tuning, and implementation of system-wide best practices for performance, scalability, and ethical AI use. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master’s degree, or foreign equivalent, in Data Science, Computer Science, Business Analytics, or a closely related field plus two years of experience in the job offered or a related occupation. Special Skill Requirements: 1\. Experience designing and implementing scalable machine learning models using algorithms such as logistic regression, random forests, gradient boosting, and time series models to solve business problems (2 years). 2, Experience utilizing deep learning and Generative AI architectures, including CNNs, RNNs, and large language models (LLMs), to enhance automation and decision-making (2 years). 3\. Experience conducting exploratory data analysis (EDA), statistical modeling, and visualization to identify trends, detect anomalies, and inform model improvements (2 years). 4\. Experience programming in Python for model development, validation, and automation using libraries such as pandas, scikit-learn, TensorFlow, and PyTorch (2 years). 5.Experience writing and optimizing complex SQL queries for data extraction, transformation, and analytics in large-scale environments (2 years). 6\. Experience developing, validating, and maintaining statistical and AI/ML models for risk management, fraud detection, AML, and compliance in alignment with Model Risk Management (MRM) standards (2 years). 7\. Experience performing comprehensive model validation, including data quality assessment, benchmarking, back-testing, and performance evaluation (2 years). 8\. Experience preparing model documentation, validation reports, and findings in compliance with internal governance and regulatory standards (2 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: Austin, TX | Salary: $117,500.00-199,500.00 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 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: 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.