PayPal is looking for a Staff Machine Learning Engineer to lead the design, development, and implementation of advanced machine learning models and algorithms. You will build scalable ML pipelines, ensure data quality, and deploy models into production to drive business insights and improve customer experiences.
What You'll Do
- Lead the development and optimization of advanced machine learning models.
- Oversee the preprocessing and analysis of large datasets.
- Deploy and maintain ML solutions in production environments.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models, making necessary adjustments.
What We're Looking For
- A minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Technical Stack
- TensorFlow
- PyTorch
- scikit-learn
- AWS
- Azure
- GCP
Benefits & Compensation
- Compensation: $196,500.00 - $291,500.00 Annually
- Generous paid time off
- Healthcare coverage for you and your family
- Resources to create financial security and support your mental health
- Comprehensive, choice-based programs to support all aspects of personal wellbeing—physical, emotional, and financial
Work Mode
This is a hybrid position based in San Jose, California.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
