PayPal PaaS LLMs Engineering Intern 

France, Auvergne-Rhône-Alpes 

145789096

Responsibilities

The scope of this role includes but not limited to:

• LLM Models Management: Assist in building and optimizing a management system for large language models, including deployment, scheduling, and monitoring.
• LLM Images Management: Manage container images for Kubernetes, including building, optimizing, and pulling strategies.
• Deployment Management Platform Development: Help develop and maintain an LLM deployment management platform to improve efficiency and stability.
• Automation & Operations: Optimize containerized application workflows to enhance automation and resource utilization.
• Performance Optimization: Analyze and optimize the LLM runtime environment to improve inference efficiency and system stability.

Essential Skills:

• Currently pursuing a degree in Computer Science or a related field (Bachelor's or above; Master’s preferred).
• Proficiency in at least one programming language (Python, Go, or Java); cloud-native development experience is a plus.
• Understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and LLM-related concepts is preferred.
• Familiarity with Linux and experience with Docker/Kubernetes is a plus.
• Strong engineering skills and teamwork abilities, with a keen interest in AI and cloud-native technologies.

Desirable Skills:

• Experience with LLMs (e.g., DeepSeek, Llama, Qwen, GPT).
• Knowledge of Docker/Kubernetes.
• Familiarity with GPU scheduling and model inference optimization.

Communication:

• Excellent documentation skills.

Our Benefits:

Any general requests for consideration of your skills, please