Staff Machine Learning Engineer

PayPal; Chicago (IL); Hybrid; USD 169,500 - 291,500; Full time

Benefits offered by this job

Flexible work environment

Employee stock options

Health and life insurance

Job summary

A leading financial technology company in Chicago is looking for an experienced Machine Learning Engineer to lead the development and optimization of ML models. The ideal candidate must have at least 8 years of relevant experience, extensive knowledge of ML frameworks, and expertise in cloud platforms. This position supports a hybrid work model, combining in-office and remote work.

Qualifications

• Minimum 8 years of relevant work experience.
• Extensive experience with ML frameworks.
• Expertise in cloud platforms and model deployment.

Responsibilities

• Lead the development and optimization of ML models.
• Oversee preprocessing and analysis of datasets.
• Deploy and maintain ML solutions in production.
• Collaborate with teams to integrate ML models.
• Monitor and evaluate performance of models.

Skills

Machine Learning Frameworks

Cloud Platforms

Data Processing

Education

Bachelor's degree or equivalent experience

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

Overview

The Company PayPal has been revolutionizing commerce globally for more than 25 years. PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy by offering a global, two-sided network that connects hundreds of millions of merchants and consumers and provides end-to-end payments solutions, risk management, and cross-border capabilities. We value Inclusion, Innovation, Collaboration, and Wellness, and we work as one global team with our customers at the center of everything we do.

Job Description Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description: Essential 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.

Minimum Qualifications

• 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.

PayPal is committed to fair and equitable compensation practices. Actual compensation is based on factors including location, skills, and experience. The total compensation may include an annual performance bonus, equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.

The U.S. national annual pay range for this role is $169,500 to $291,500. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about recruitment fraud, please visit https://careers.pypl.com/contact-us.

For most employees, PayPal offers a balanced hybrid work model with 3 days in the office and 2 days remote, providing the benefits of both locations.

Benefits and Culture

Our Benefits: PayPal offers a flexible work environment, employee stock options, health and life insurance, and more. To learn more, visit https://www.paypalbenefits.com.

Who We Are: To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, gender, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, veteran status, or any other characteristic protected by law. Reasonable accommodations are available for qualified individuals with disabilities. For accessibility concerns, contact [e-mail].

Belonging at PayPal

Belonging at PayPal means creating a workplace where everyone can do their best work with a sense of purpose and security. We strive to cultivate inclusivity and belonging and maintain a diverse workforce reflective of the communities we serve.

To learn more about opportunities, consider joining our Talent Community. We encourage all qualified candidates to apply.