Machine Learning Engineer 3
Description For Machine Learning Engineer 3
PayPal, a global leader in online payments and financial services, is seeking a Machine Learning Engineer 3 to join their Global Data Science organization. This role offers an exciting opportunity to work on cutting-edge machine learning solutions that impact hundreds of millions of customers worldwide. As a ML Engineer, you'll be instrumental in developing state-of-the-art solutions for PayPal's Merchant and Consumer products, leveraging vast amounts of data to create personalized and intelligent experiences.
The position combines technical expertise in machine learning with practical application in financial technology. You'll work with modern ML frameworks, handle big data technologies, and collaborate with cross-functional teams to deliver innovative solutions. The role offers a balanced hybrid work model with 3 days in office and 2 days flexible.
PayPal offers a comprehensive benefits package including health insurance, equity options, retirement plans, and professional development opportunities. The company culture emphasizes inclusion, innovation, collaboration, and wellness, making it an ideal environment for talented ML professionals looking to make a significant impact in financial technology.
This role is perfect for candidates who are passionate about machine learning, have strong technical skills, and want to work on challenging problems that directly impact how people interact with money globally. The position offers both technical growth and the opportunity to contribute to PayPal's mission of democratizing financial services.
Responsibilities For Machine Learning Engineer 3
- Work on PayPal's Merchant and Consumer products globally
- Research and deliver end-to-end Data Science solutions
- Leverage data and machine learning skills to improve products
- Create personal and smart experiences for users
- Identify opportunities and improve products through data analysis
Requirements For Machine Learning Engineer 3
- Master's degree with 2+ years of experience, or PhD as a ML Research Scientist or similar role
- Strong understanding of machine learning methods
- Deep knowledge in traditional machine learning, deep learning, NLP/LLM, Graph
- Experience with machine learning frameworks like Keras, TensorFlow, and PyTorch
- Excellent understanding of computer science fundamentals, data structures, and algorithms
- Familiarity with Big Data technologies like PySpark and BigQuery
- Strong communication skills and fluent in English
- First-author publications in top conferences are a plus
Benefits For Machine Learning Engineer 3
- Employee shares options
- Health and life insurance
- Flexible work environment
- Comprehensive health and wellness programs
- Retirement and investment resources
- Paid Time Off and 4-week sabbatical program
- Career and leadership training and development
- Educational benefits
- Company-matched giving
- Volunteering opportunities
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