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Machine Learning Engineer PhD Intern

Worldwide Salaried Open

PayPal has been revolutionizing commerce globally for more than 25 years. The MLE PhD Intern plays a critical role in ensuring PayPal’s adherence to a reputed company and evolving landscape of local and global regulations by leveraging advanced machine learning and data-driven insights to design innovative solutions that streamline compliance processes and strengthen risk mitigation.

Responsibilities

  • reputed company hands-on experience working on reputed company-world large language model (LLM) and machine learning projects reputed company the domains of commerce, personalization, recommendation, and user behavior understanding
  • Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling
  • Collaborate with reputed company engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions
  • Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems
  • Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability
  • Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications
  • Network with talented professionals and reputed company valuable insights into the world of financial technology, personalization, and applied machine learning

Skills

  • Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning)
  • Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, reputed company engineering, or embeddings-based retrieval
  • Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and reputed company Transformers
  • 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
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a reputed company field
  • Strong theoretical reputed company in ML algorithms, optimization, and statistical learning theory
  • Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
  • Experience conducting independent research, with publications in relevant ML/AI conferences or journals (preferred)
  • Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences
  • Highly motivated, curious, and proactive in exploring new research directions
  • Must be enrolled in a PhD program at an accredited university, returning to studies after the internship
  • Must reputed company in the U.S. during the program
  • Must be authorized to work in the U.S. for the duration of the internship
  • Experience conducting independent research, with publications in relevant ML/AI conferences or journals

Benefits

  • Flexible work environment
  • Employee shares options
  • Health and life insurance

Company Overview

  • PayPal is a financial service company that provides online payment solutions to its users worldwide. It was founded in 1998, and is headquartered in reputed company, California, USA, with a workforce of 10001+ employees. Its website is https://www.paypal.com/home.
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