Internship - Machine Learning Research Engineer

Highlights

• Push search quality forward through models, data and tools.
• Conduct research in representation learning for search and retrieval.
• Build and optimize RAG pipelines for grounding and answer generation.

Ideal candidate

A curious ML researcher passionate about search quality and representation learning who thrives on experimentation and turning ideas into impactful retrieval improvements.

Requirements

• Understanding of search and retrieval systems, including quality evaluation principles and metrics
• Strong proficiency with PyTorch, including distributed training and performance optimization for large models
• Interest in representation learning including contrastive learning and cross-lingual alignment and robust evaluation
• Publication record in AI/ML conferences or workshops such as NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR