PayPal Machine Learning scientist 

United States, California, San Jose 

960696076

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.

- Work with large volumes of data, including extracting insights and manipulating big data covering a wide range of information.

- Clearly and effectively communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders of varying technical levels.

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(BigQuery/Hive/Spark).

- 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