Senior ML Engineer - Production AI Pipelines

PayPal; San Jose (CA); Hybrid; USD 160,000 - 237,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare coverage for you and your 3

Generous paid time off

Job summary

PayPal in San Jose, CA, is seeking a machine learning engineer to design, develop, and deploy scalable ML models and pipelines in production, collaborating with data scientists and software engineers to improve customer experiences.

The role requires 3+ years of experience with ML frameworks and cloud platforms (AWS/Azure/GCP), plus a Bachelor’s degree or equivalent. PayPal offers a balanced hybrid work model and comprehensive benefits.

Qualifications

• 3+ years of relevant experience with machine learning.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and data processing/tools.

Responsibilities

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract insights.
• Deploy ML solutions into production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.

Skills

TensorFlow

PyTorch

scikit-learn

Education

Bachelor’s degree or equivalent

Tools

AWS

Azure

GCP

Job description

PayPal in San Jose, CA, is seeking a machine learning engineer to design, develop, and deploy scalable ML models and pipelines in production, collaborating with data scientists and software engineers to improve customer experiences.

The role requires 3+ years of experience with ML frameworks and cloud platforms (AWS/Azure/GCP), plus a Bachelor’s degree or equivalent. PayPal offers a balanced hybrid work model and comprehensive benefits.