Sr Machine Learning Engineer

PayPal • San Jose, CA

2d • $159,500 - $236,500 • Hybrid

About The Position

The Senior Machine Learning Engineer designs, develops, and implements machine learning models and algorithms to solve complex problems. The role works closely with data scientists, software engineers, and product teams to enhance services with AI/ML solutions. Responsibilities include building scalable ML pipelines, ensuring data quality, and deploying models into production to drive business insights and improve customer experiences.

This role is based in San Jose, California. PayPal’s balanced hybrid work model generally calls for three days in the office and two days either at the office or at home.

Requirements

• At least 3 years of relevant experience and a bachelor's degree, or an equivalent combination of education and experience.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and tools for data processing and model deployment.
• Several years of experience designing, implementing, and deploying machine learning models.

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.

Benefits

• Generous paid time off.
• Healthcare coverage for employees and their families.
• Resources to support financial security and mental health.
• Additional compensation may include an annual performance bonus, equity, or other incentive compensation, as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior