Summer Machine Learning Engineer Intern - Build Scalable ML

BAM Ventures; San Jose (CA); Híbrido; USD 69.000 - 81.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Generous paid time off

Healthcare coverage for you and your l

Descripción de la vacante

PayPal is seeking a Machine Learning Engineer Intern in San Jose, CA. You will work with engineers, data scientists, and product teams to explore and build ML solutions across PayPal products.

The role emphasizes data prep, model development, experimentation, and deployment with mentorship from the team. Ideal candidates are pursuing a bachelor's or master's in CS/ML/DS/CE, with programming experience (Python/Java/C++) and familiarity with ML frameworks.

Formación

• Experience with Python, Java, C++, or similar languages.
• Familiarity with ML concepts through coursework, research, internships, or projects.
• Exposure to ML frameworks such as scikit-learn and TensorFlow.
• Familiarity with data structures, algorithms, data analysis, or statistics.
• Strong analytical, problem-solving, communication, and collaboration skills.

Responsabilidades

• Assist with developing, testing, and optimizing machine learning models for business needs.
• Prepare, clean, and analyze datasets to support model development.
• Run experiments and evaluate model performance using appropriate metrics.
• Collaborate to support scalable ML pipelines and deployment of models.
• Write clean code and document experiments, results, and decisions.
• Participate in code/design reviews and align with team standards.
• Stay curious about ML developments and apply relevant techniques to PayPal products.

Conocimientos

Python

Java

C++

Data structures

Algorithms

Data analysis

Statistics

Educación

Bachelor's or Master's in CS/ML/DS/CE

Herramientas

scikit-learn

TensorFlow

Descripción del empleo

PayPal is seeking a Machine Learning Engineer Intern in San Jose, CA. You will work with engineers, data scientists, and product teams to explore and build ML solutions across PayPal products.

The role emphasizes data prep, model development, experimentation, and deployment with mentorship from the team. Ideal candidates are pursuing a bachelor's or master's in CS/ML/DS/CE, with programming experience (Python/Java/C++) and familiarity with ML frameworks.