PayPal Machine Learning Engineering Intern 

France, Auvergne-Rhône-Alpes 

693098315

Join **PayPal’s Enterprise AMPS Team in China** as a **Machine Learning Engineer Intern** and contribute to cutting-edge AI and data-driven solutions that power PayPal’s global fintech ecosystem. You will work alongside top-tier data scientists and engineers to fine-tune **Large Language Models (LLMs)**, develop **agentic AI applications**, and support high-impact business initiatives in **risk analysis, compliance, marketing, and product development**. Your expertise in **Python, Java, and deep learning** will directly influence PayPal’s AI strategy in **China and beyond**.

Job Description:

###**Responsibilities:**

1. **LLM Fine-Tuning & Training**

- Assist in finetuning **large-scale generative AI models (GPT, BERT, etc.)** for business-specific use cases (e.g., fraud detection, customer support automation).

- Optimize **prompt engineering, RAG (Retrieval-Augmented Generation), and model adaptation** for financial applications.

- Benchmark and evaluate LLM performance on domain-specific datasets.

2. **Agentic AI Application Development**

- Build and prototype **AI agents** that automate decision-making in areas like **transaction risk assessment, customer engagement, and regulatory compliance**.

- Integrate **reinforcement learning (RL) and multi-agent systems** for dynamic business optimization.

- Work with **LangChain, LlamaIndex, or AutoGen, CrewAI** to develop AI-driven workflows.

3. **Machine Learning & Data Science Support**

- Develop and deploy machine learning models for **business growth, marketing analytics, and risk prediction**.

- Work with **SQL, PySpark, or Hadoop** for large-scale data processing and analytics.

### **Requirements:**

#### **Technical Skills:**

✔️ **Programming:** Strong proficiency in **Python (PyTorch, TensorFlow, Hugging Face)** and **Java (for backend ML integration).**

✔️ **Deep Learning:** Hands-on experience in **training or fine-tuning Transformer-based models (LLMs, BERT, GPT, etc.).**

✔️ **Data Engineering:** Ability to handle large datasets with **SQL, NoSQL, and big data tools (Spark, Hadoop is a plus).**

#### **Academic Background:**

📌 Currently pursuing a **Bachelor's or Master's** in **Computer Science, AI, Data Science, or a related field.**

📌 Familiarity with **machine learning algorithms(supervised/unsupervisedlearning, reinforcement learning).**

#### **Soft Skills:**

🔹 Strong analytical problem-solving abilities.

Our Benefits:

Any general requests for consideration of your skills, please