Sr Machine Learning Engineer

Das ist der Job

Responsibilities Develop and optimize machine learning models for various applications.

Das brauchst du

Im Folgenden finden Sie Informationen über die Anforderungen der Stelle, die erwartete Erfahrung des Bewerbers und die dazugehörigen Qualifikationen.

Darum lohnt es sich

You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Collaborate with cross‑functional teams to integrate ML models into products and services.

Role and Responsibilities 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. Ability to work effectively both independently and in a team environment.

Hybrid Work Model 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.

Benefits At PayPal, we’re committed to building an equitable and inclusive global economy.

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. xayajpt 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.

Job Summary This job will design, develop, and implement machine learning models and algorithms to solve complex problems. 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.

Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Monitor and evaluate the performance of deployed models. Minimum Qualifications 3 years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.

Experience with ML frameworks like TensorFlow, PyTorch, or scikit‑learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models.

Additional Responsibilities & Preferred Qualifications 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.

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.

Preferred Qualifications 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 communicate effectively and establish constructive relationship with stakeholders. 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.

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