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Staff Machine Learning Engineer – R&D, Fraud Intelligence at PayPal
Chicago, Illinois, United States -
Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Anomaly Detection, Supervised Learning, Continual Learning, Data Analysis, Model Deployment, TensorFlow, Scikit-learn, Data Quality, Problem-solving, Analytical Skills

Industry

Software Development

Description
Working at the intersection of applied research and large-scale engineering, you'll develop novel approaches in anomaly detection, supervised learning, and continual learning to uncover and adapt to evolving fraud patterns. Assist in the development and optimization of machine learning models. Preprocess and analyze datasets to ensure data quality. Collaborate with senior engineers and data scientists on model deployment. Conduct experiments and run machine learning tests. Stay updated with the latest advancements in machine learning. Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Familiarity with ML frameworks like TensorFlow or scikit-learn. Strong analytical and problem-solving skills.
Responsibilities
Develop novel approaches in anomaly detection and supervised learning to adapt to evolving fraud patterns. Collaborate with engineers and data scientists on model deployment and conduct experiments.