PayPal is hiring: Sr Machine Learning Engineer in chicago

Job Summary

This role is responsible for independently validating and providing oversight of high‑impact statistical, machine learning, and AI models across key business areas such as credit, fraud, marketing, and collections. It involves assessing model soundness, data quality, and performance to identify and mitigate model risk, while collaborating with developers and business partners on remediation and improvement. The position also supports AI and model risk governance to ensure compliance with PayPal’s enterprise risk framework and evolving regulatory standards.

Essential Responsibilities

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross‑functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Minimum Qualifications

• 3+ years of relevant experience and a Bachelor’s degree, or an equivalent combination of education and experience.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience designing, implementing, and deploying machine learning models.

Additional Responsibilities & Preferred Qualifications

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong knowledge of statistical and machine learning techniques, including logistic regression, time‑series modeling, random forests, support vector machines, gradient boosting (e.g., XGBoost), and deep learning architectures (e.g., CNNs, RNNs).
• Proficiency in programming and big‑data technologies, with hands‑on experience in tools such as Python (scikit‑learn, TensorFlow), SQL, Hadoop, and Spark.
• Relevant modeling experience in one or more of the following domains: credit risk scoring, fraud detection, financial forecasting, or marketing analytics, gained through industry or academic research.
• Strong collaboration and communication skills, with the ability to work effectively both independently and as part of a cross‑functional team.
• Ability to articulate complex technical concepts clearly to non‑technical stakeholders and build constructive working relationships across functions.

Preferred Qualifications

• Experience with Large Language Models (LLMs), Agentic AI, or related generative AI applications.
• Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11‑7, OCC 2011‑12, EU AI Act) is a plus.

Travel

Travel requirement: 0%

Salary

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:

• Chicago, Illinois: ($145,000.00 – $215,050.00 Annually)
• San Jose, California: ($159,500.00 – $236,500.00 Annually)
• Austin, Texas: ($145,000.00 – $215,050.00 Annually)

Benefits

PayPal is committed to building an equitable and inclusive global economy. We offer comprehensive, choice‑based programs that support personal wellbeing—including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health. We strive to create a flexible, balanced work culture with a holistic approach to benefits.

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

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