3 days ago
Base Salary
$197k - $292k/yr
Responsibilities
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Build scalable machine learning pipelines.
- Deploy and maintain machine learning solutions in production environments.
- Collaborate with data scientists, software engineers, and product teams to integrate ML models into products and services.
- Monitor and evaluate deployed model performance and make necessary adjustments.
Requirements
- At least 5 years of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.
- Extensive experience with TensorFlow, PyTorch, or scikit-learn.
- Expertise with AWS, Azure, or GCP and tools for data processing and model deployment.
Benefits
- Comprehensive choice-based programs supporting physical, emotional, and financial wellbeing.
- Generous paid time off.
- Healthcare coverage for employees and their families.
- Financial security resources and mental health support.
- Balanced hybrid work model with three days in the office and two days at the PayPal office or home workspace.
- Primary location is San Jose, California, with 0% travel stated.
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.