Machine Learning PhD Intern: From Research to Production

BAM Ventures; San Jose (CA); Híbrido; USD 81.000 - 91.000; Jornada completa

Descripción de la vacante

PayPal is seeking a Machine Learning Engineer PhD Intern in San Jose, CA, to research, develop, and evaluate ML solutions within a regulatory and risk‑aware environment. You will work with experienced engineers, data scientists, and product teams to drive model development and deployment for PayPal products and services.

The role emphasizes applying advanced ML knowledge, communicating findings, and collaborating across teams, with a Summer 2027 internship program and a balanced hybrid work

Formación

• Currently pursuing a PhD in computer science, machine learning, statistics, or a related field.
• Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Strong analytical, communication, and collaboration skills; relevant research publications are preferred.

Responsabilidades

• Conduct applied research to identify and develop machine learning solutions for complex business challenges.
• Design, build, and evaluate machine learning models, using appropriate methods to assess their effectiveness, reliability, and suitability for use.
• Analyze data and conduct experiments to generate insights and guide model development.
• Collaborate with engineers, data scientists, and cross‑functional partners to translate business needs into scalable machine learning solutions.
• Contribute to the development and deployment of machine learning pipelines and solutions in production environments.
• Monitor model performance and identify opportunities to improve outcomes, reliability, and efficiency.
• Document research, experiments, and technical decisions, and communicate findings to technical and non‑technical audiences.
• Stay informed about developments in machine learning and assess their potential relevance to PayPal’s products and services.

Conocimientos

Python

PyTorch

TensorFlow

scikit-learn

Model evaluation

Educación

PhD in computer science / ML / statistics

Descripción del empleo

PayPal is seeking a Machine Learning Engineer PhD Intern in San Jose, CA, to research, develop, and evaluate ML solutions within a regulatory and risk‑aware environment. You will work with experienced engineers, data scientists, and product teams to drive model development and deployment for PayPal products and services.

The role emphasizes applying advanced ML knowledge, communicating findings, and collaborating across teams, with a Summer 2027 internship program and a balanced hybrid work