Machine Learning Engineer

PayPal • Austin, TX

1d • Hybrid

About The Position

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: This job will validate and develop 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.

Requirements

• 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.
• This position requires the ability and curiosity to learn various advanced modeling methods/AI techniques, covering a broader business function.
• This role also requires candidate to have the capability in building effective relationship with various stakeholders including business owners, model owners, model developers and control officers.
• The candidate must possess excellent communication, writing and presentation skills.
• An advanced degree in a quantitative field, such as statistics, mathematics, computer science or engineering essential
• Advanced knowledge of statistical and machine learning models (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
• Possessing advanced coding skills in dealing with big data (e.g., Scikit-learn in Python, Tensorflow, Hadoop, Spark , SQL, etc.)
• Relevant Modeling experience in credit scoring, fraud detection, financial forecasting, or marketing analytics obtained either in academic or financial industry
• Ability to work effectively both independently and in a team environment
• Ability to communicate effectively and establish constructive relationship with stakeholders

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.
• Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.
• Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issues
• Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements
• Perform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal’s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level