Sr Machine Learning Engineer

Build and ship machine learning solutions that improve products and customer experiences in a hybrid role based in San Jose.

Responsibilities

• Design, develop, and optimize machine learning models for multiple use cases
• Preprocess and analyze large datasets to extract actionable insights
• Deploy machine learning solutions into production using appropriate tools and frameworks
• Partner with cross-functional teams to integrate ML models into products and services
• Monitor and evaluate deployed model performance

Requirements

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

Technology

• TensorFlow
• PyTorch
• scikit-learn
• AWS
• Azure
• GCP

Location and Work Model

• San Jose, CA (Hybrid)
• For the majority of employees, balanced hybrid model includes:
  • 3 days in the office for in-person collaboration
  • 2 days at your choice of either the PayPal office or your home workspace
• Travel: 0
• Primary location pay range: $159,500.00 - $236,500.00 annually
• Additional locations: None currently assigned

Compensation

• Annual salary range: USD 159,500 - 236,500
• Additional compensation may include: annual performance bonus, equity, or other incentive compensation as applicable

Benefits

• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security and support mental health
• Comprehensive, choice-based programs to support personal wellbeing (physical, emotional, and financial)

Subsidiary: PayPal