18 hours ago
Chennai, India or Bengaluru, IndiaSenior
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, product teams, and other cross-functional partners to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
- Build scalable ML pipelines and ensure data quality.
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 and tools for data processing and model deployment.
- Several years of experience designing, implementing, and deploying machine learning models.
- For the recent-graduate position, candidates must have graduated within the past 12 months or be graduating by Spring 2027 with a PhD in Computer Science or a related field from an accredited college or university.
Benefits
- Balanced hybrid work model with three days in the office and two days at either the PayPal office or home workspace for most employees.
- Generous paid time off.
- Healthcare coverage for employees and their families.
- Resources supporting financial security and mental health.
- Choice-based programs supporting physical, emotional, and financial wellbeing.
- Travel requirement listed as 0 percent.
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.