Machine Learning Engineer

Benefits

Additional Information

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 Machine Learning Engineer in Austin, TX Job Duties: Gather, analyze and implement high-impact statistical models and AI applications in various business functional areas, focusing on but not limited to Natural Language Processing (NLP) models and Generative AI. Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use. Maintain technical documentation of AI/ML model development and validation. Collaborate with business units and model developers to ensure model issues are agreed and remediated in a timely manner. Build effective relationship with stakeholders from various teams such as data science, engineering, product, customer service/complaints, compliance, audit. Research latest AI/ML advancements and explore opportunities for innovation. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, or a closely related field plus one year of experience in the job offered or a related occupation. Special Skill Requirements: 1. Experience developing and deploying statistical model and data-driven applications using Python to analyze multi-terabyte datasets, generate actionable insights and support decision-making for business operation (1 year). 2. Experience analyzing and interpreting credit reports and credit data to derive business insights (1 year). 3. Experience querying, manipulating, and analyzing multi-terabyte datasets, including external bureau data, using SQL to enable advanced business analytics in large-scale operational environments (1 year). 4. Experience building interactive dashboard and data visualizations with Tableau/Looker Studio to communicate customer analytics to stakeholders (1 year). 5. Experience designing, implementing, and deploying machine learning models for business applications (1 year). 6. Experience extracting, transforming, and selecting meaningful features from credit datasets to improve model performance (1 year). 7. Experience conducting statistical analysis and hypothesis testing to uncover meaningful trends and generate actionable recommendations (1 year). 8. Experience working with Generative AI architectures, including Large Language Model (LLMs), to analyze, automate, and enhance internal tool process - such as developing NLP-driven transcription and summarization tools (1 year). 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 b