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Machine Learning Intern
2 weeks ago
**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.
**Responsibilities**:
+ Develop new capabilities through ambitious, long-term research.
+ Develop innovative solutions for real-world, large scale problems to enhance customer & employee experience.
+ Collaborate effectively with cross functional teams different geographical locations to ensure fruition of projects.
**Minimum qualifications**:
+ Studying Postgraduate/PhD degree in computer science, artificial intelligence, or related technical field is preferred.
+ Prior experience in one or more of the following fields in AI: deep learning, graph mining, knowledge graph, ontology, natural language processing, computer vision, speech biometrics, etc.
+ Proficient in fundamental technical skills (Programming language like Java/Python/R; database language like SQL; Experienced in working with Hadoop, Map-Reduce, Hive, Pig)
+ Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, PyTorch, etc).
**Preferred qualifications**:
+ Strong publication record at top-tier AI conferences or journals is a plus
+ Full time industry experience in AI research or product developments is a plus
+ Experience in managing AI projects (e.g. commercial or government-funded projects) is a plus.
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**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.
**Who We Are**:
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.
