Internship - Machine Learning Research Engineer
Core
Research and optimize large-scale deep learning models for search quality, retrieval, and ranking.
Role type
Machine Learning Research Engineer (Intern)
Builds
Search and retrieval models, RAG pipelines for grounding and answer generation
Domain
Search technology, AI/ML, Representation learning
Deliverable
production ML models
Required skills
PyTorch, distributed training, representation learning, contrastive learning, retrieval systems, model optimization
Preferred skills
Publication record in AI/ML conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR)
Technologies
PyTorch, DeepSpeed, FSDP
Responsibilities
Train and optimize large-scale deep learning models for retrieval and ranking; Conduct research in representation learning including contrastive and multimodal modeling; Build and optimize RAG pipelines for grounding and answer generation
Seniority
Intern
