PayPal
Job Title
Sr Machine Learning Engineer — PayPal Job Description Summary
We are seeking a talented Senior Machine Learning Engineer to join our team and focus on building advanced fraud prediction models. This role involves developing core decision models for various aspects of fraud prevention, including identity, onboarding, authentication, abuse, scam and product-specific models. The ideal candidate will leverage anomaly detection, supervised learning, and continual learning techniques to create robust and effective fraud prevention solutions. Responsibilities
Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications
Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Compensation and Benefits
The U.S. national annual pay range for this role is $137,500 to $236,500. The total compensation may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. Actual compensation is based on factors including location, skills, and experience. For more information, visit PayPal Benefits. PayPal is committed to fair and equitable compensation practices. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. For information on identifying and avoiding recruitment fraud, please refer to PayPal’s guidance. Work Model
For the majority of employees, PayPal offers a balanced hybrid work model with 3 days in the office and 2 days at a location of your choice (PayPal office or home workspace). Equal Opportunity and Belonging
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, gender, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other characteristic protected by law. Reasonable accommodations are provided for qualified individuals with disabilities. For accessibility concerns, please contact PayPal Global Talent Acquisition. Belonging at PayPal means creating a workplace where everyone feels included and valued. We encourage candidates from diverse backgrounds to apply. Job Details
Location: Chicago, IL (example location in listing)
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Sr Machine Learning Engineer — PayPal Job Description Summary
We are seeking a talented Senior Machine Learning Engineer to join our team and focus on building advanced fraud prediction models. This role involves developing core decision models for various aspects of fraud prevention, including identity, onboarding, authentication, abuse, scam and product-specific models. The ideal candidate will leverage anomaly detection, supervised learning, and continual learning techniques to create robust and effective fraud prevention solutions. Responsibilities
Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications
Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Compensation and Benefits
The U.S. national annual pay range for this role is $137,500 to $236,500. The total compensation may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. Actual compensation is based on factors including location, skills, and experience. For more information, visit PayPal Benefits. PayPal is committed to fair and equitable compensation practices. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. For information on identifying and avoiding recruitment fraud, please refer to PayPal’s guidance. Work Model
For the majority of employees, PayPal offers a balanced hybrid work model with 3 days in the office and 2 days at a location of your choice (PayPal office or home workspace). Equal Opportunity and Belonging
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, gender, sexual orientation, gender identity and/or expression, genetic information, marital status, veteran status, or any other characteristic protected by law. Reasonable accommodations are provided for qualified individuals with disabilities. For accessibility concerns, please contact PayPal Global Talent Acquisition. Belonging at PayPal means creating a workplace where everyone feels included and valued. We encourage candidates from diverse backgrounds to apply. Job Details
Location: Chicago, IL (example location in listing)
#J-18808-Ljbffr