Internship - Machine Learning Research Engineer

📋 Description Relentlessly push search quality forward — through models, data, tools, or any other leverage Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging Conduct research in representation learning, including contrastive learning, multilingual Build and optimize RAG pipelines for grounding and answer generation. 🎯 Requirements Understanding of search and retrieval systems, including quality evaluation principles and metrics. Strong proficiency with PyTorch, including experience in distributed training techniques and Interested in representation learning, including contrastive learning, dense & sparse vector Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).