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About the Role

PayPal seeks a Sr Machine Learning Engineer to evaluate and validate high-impact statistical and AI/ML models across key business areas. This role involves providing risk oversight on the engineering, automation, and production deployment of sophisticated machine learning models, building scalable systems, and leading technical projects.

Responsibilities

• 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.

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.
• Must be legally authorized to work in the U.S. without sponsorship.

Skills

• 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).
• Experience utilizing deep learning and Generative AI architectures, including CNNs, RNNs, and large language models (LLMs), to enhance automation and decision-making (2 years).
• Experience conducting exploratory data analysis (EDA), statistical modeling, and visualization to identify trends, detect anomalies, and inform model improvements (2 years).
• Experience programming in Python for model development, validation, and automation using libraries such as pandas, scikit-learn, TensorFlow, and PyTorch (2 years).
• Experience writing and optimizing complex SQL queries for data extraction, transformation, and analytics in large-scale environments (2 years).
• 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).
• Experience performing comprehensive model validation, including data quality assessment, benchmarking, back-testing, and performance evaluation (2 years).
• Experience preparing model documentation, validation reports, and findings in compliance with internal governance and regulatory standards (2 years).

Location

• Austin, TX

Work Type

• Regular
• Full-Time
• Partial telecommuting permitted

Experience Level

• 2 years

Education Level

• Master’s degree

Salary/Compensations

• $117,500.00-199,500.00 per annum

Benefits

• Comprehensive, choice-based programs to support all aspects of personal wellbeing—physical, emotional, and financial.
• Flexible, balanced work culture with a holistic approach to benefits.
• Generous paid time off.
• Healthcare coverage for you and your family.
• Resources to create financial security and support your mental health.

About 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.
• 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.
• PayPal is on a mission to revolutionize commerce globally.
• We’re driving our company, industry, and society forward with vision and velocity.
• With our commitment to excellence, innovation, and talent, the possibilities are limitless.

Equal Opportunity

• EOE, including disability/vets.
• 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.