Machine Learning Intern

USA - California - San Jose - Corp - N First St

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PayPal

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At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

Fuel the future of compliance with cutting-edge ML.
Are you a passionate machine learning enthusiast eager to tackle real-world challenges at the forefront of financial technology? Do you thrive in a collaborative environment where innovation meets purpose? Then join PayPal's Enterprise Compliance Solutions team as a Machine Learning Intern and help us shape the future of compliance!

About the Team:

The Enterprise Compliance Solutions team plays a critical role in ensuring PayPal's adherence to a complex web of local and global regulations. We leverage cutting-edge technology and data-driven insights to develop innovative solutions that streamline compliance processes, enhance risk mitigation, and ultimately empower PayPal to deliver a seamless and secure financial experience for everyone.

Job Description:

Key Responsibilities:

  • Gain hands-on experience working on real-world machine learning projects within the compliance domain.
  • Assist in the development, implementation, and evaluation of ML models for tasks like fraud detection, AML/KYC, and regulatory reporting.
  • Collaborate with experienced engineers, data scientists, and compliance experts to translate business requirements into actionable ML solutions.
  • Analyze data, build prototypes, and explore new methodologies to improve the efficiency and effectiveness of compliance processes.
  • Contribute to the development and documentation of ML pipelines, ensuring reproducibility and maintainability.
  • Present your findings and recommendations to stakeholders across the organization.
  • Network with talented professionals and gain valuable insights into the world of financial technology and machine learning.

Basic Requirements:

  • Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).
  • Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
  • Experience with data analysis, cleaning, and wrangling.
  • Excellent communication, collaboration, and problem-solving skills.
  • A passion for learning and exploring new technologies.
  • Highly motivated and proactive with a strong work ethic.

Additional Bonus Experience:

  • Familiarity with the financial services industry and its compliance challenges.
  • Experience working with big data platforms and cloud technologies.
  • Understanding of natural language processing (NLP) and its applications in compliance.

Internship Program Information and Requirements: 

  • This is a Summer 2024 Internship program. Spring and Fall 2024 internships are not available. 

  • Must currently be pursuing Bachelor’s or Master’s degree in Computer Science or related field from an accredited college or university. 

  • We are currently looking for applicants who are rising juniors or seniors (graduating in Winter 2024 through Winter 2025)

  • Must reside in the U.S. during the Summer internship program. 

  • Must be able to obtain authorization to work in the U.S. for the summer. 

globaluniversityinternsoftwareengineering

Additional Job Description:

PayPal is committed to fair and equitable compensation practices.

Actual compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits.  For more information, visit https://www.paypalbenefits.com.

The U.S. national hourly pay range for this role is $21 to $55.  

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Any general requests for consideration of your skills, please Join Our Talent Community.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

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Tags: Big Data Computer Science Data analysis Deep Learning Machine Learning ML models NLP NumPy Pandas Pipelines Python PyTorch Scikit-learn TensorFlow Unsupervised Learning

Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Salary bonus

Region: North America
Country: United States

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