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PayPal Machine Learning Scientist United States, California, San Jose 676184266
Job Description:
In your role as a machine learning scientist, you will:
- Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models.
- Evaluate and optimize existing machine learning models for performance and scalability.
- Stay up-to-date with the latest developments in machine learning and AI technologies.
Requirements:
Minimum Qualifications:
- PhD in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc.)
- MS with 2-4 years experience in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc.)
- Strong understanding of machine learning algorithms and principles.- Proficiency in programming languages such as Python, Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) and distributed computing.
Preferred Qualifications:
- Experience with Graph algorithms and Graph ML
- Experience with Reinforcement learning
- Experience with Casual Inference
- Experience withSelf-supervised/Semi-supervisedlearning or unsupervised representation learning
- Experience with Incremental learning and Anomaly detection
- Familiarity with synthetic data generation tools and techniques
Experience in risk domain is a plus
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
$72700 to $176000
Our Benefits:
Any general requests for consideration of your skills, please
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