1 day ago
Base Salary
$160k - $237k/yr
Responsibilities
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy machine learning solutions into production environments using appropriate tools and frameworks.
- Collaborate with data scientists, software engineers, and product teams to integrate ML models into products and services.
- Build scalable ML pipelines and ensure data quality.
- Monitor and evaluate the performance of deployed models.
Requirements
- At least 3 years of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.
- Experience with TensorFlow, PyTorch, or scikit-learn.
- Familiarity with AWS, Azure, or GCP.
- Experience designing, implementing, and deploying machine learning models.
- Experience with data processing and model deployment tools.
Benefits
- Balanced hybrid work model with 3 days in the office and 2 days at the PayPal office or home workspace for most employees.
- Comprehensive choice-based wellbeing programs, including paid time off, healthcare coverage, financial security resources, and mental health support.
- Equal employment opportunity and reasonable workplace accommodations.
Tech Stack
Categories
About PayPal
PayPal builds digital payments platforms for consumers and merchants, including PayPal, Venmo, and Xoom, supporting online, in‑app, and in‑person checkout and peer‑to‑peer transfers. It earns primarily from transaction and merchant processing fees, plus value‑added services such as risk management and branded credit. Founded in 1998 and headquartered in San Jose, California, PayPal operates in roughly 200 markets and is a public company traded on NASDAQ.