Staff Machine Learning Engineer

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

Benefits offered by this job

Healthcare coverage

Generous paid time off

Hybrid work model

Competitive compensation

Job summary

PayPal in Austin, Texas (Hybrid) is seeking a senior ML Engineer to lead end-to-end work on advanced machine learning models, from development through production deployment.

You will design, develop, optimize models, oversee preprocessing, deploy in production, and collaborate with data scientists, software engineers, and product teams to integrate ML into products. You will monitor model performance and apply adjustments as needed to maximize impact.

Qualifications

• 5+ years of relevant experience and a Bachelor’s degree or equivalent
• Experience with major ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Expertise with cloud platforms and tooling for data processing and model deployment (AWS, Azure, GCP)

Responsibilities

• Drive design, development, and optimization of advanced ML models and algorithms
• Oversee preprocessing and analysis for large-scale datasets
• Deploy and maintain ML solutions in production environments
• Partner with data scientists, software engineers, and product teams to integrate ML models into products and services
• Monitor deployed model performance, evaluate results, and apply adjustments as needed

Skills

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Education

Bachelor’s degree

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Join a hybrid team in Austin to lead end to end work on advanced machine learning models, from development through production deployment.

Responsibilities

• Drive the design, development, and optimization of advanced machine learning models and algorithms
• Oversee preprocessing and analysis for large-scale datasets
• Deploy and maintain machine learning solutions in production environments
• Partner with data scientists, software engineers, and product teams to integrate ML models into products and services
• Monitor deployed model performance, evaluate results, and apply adjustments as needed

Requirements

• 5+ years of relevant experience and a Bachelor’s degree OR an equivalent combination of education and experience
• Strong experience with major ML frameworks including TensorFlow, PyTorch, and scikit-learn
• Expertise with cloud platforms and tooling for data processing and model deployment on AWS, Azure, and GCP

Tech Stack

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

Compensation and Location

• Austin, Texas (Hybrid) | $178,500 - $265,100 per year
• San Jose, California (Primary location) | $196,500 - $291,500 per year
• Travel: 0%

Benefits

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