Staff ML Engineer — Build Production AI Pipelines

PayPal Inc.; Austin (TX); Hybrid; USD 179,000 - 265,000; Full time

Job summary

PayPal Austin is seeking a senior ML Engineer to lead design, development, and deployment of advanced ML models. You will work with data scientists, software engineers, and product teams to build scalable ML pipelines, ensure data quality, and productionize models to drive business insights and improve customer experiences.

The role requires 5+ years of experience, strong ML frameworks, and cloud platform expertise.

Qualifications

• 5+ years relevant experience with a Bachelor's degree or equivalent.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and data processing/model deployment tools.

Responsibilities

• 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.

Skills

ML model development

Data analysis

Production ML deployment

Cross-functional collaboration

Model evaluation

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

PayPal Austin is seeking a senior ML Engineer to lead design, development, and deployment of advanced ML models. You will work with data scientists, software engineers, and product teams to build scalable ML pipelines, ensure data quality, and productionize models to drive business insights and improve customer experiences.

The role requires 5+ years of experience, strong ML frameworks, and cloud platform expertise.