Чем предстоит заниматься
Relentlessly push search quality forward — through models, data, tools, or any other leverage available
Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models
Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval
Build and optimize RAG pipelines for grounding and answer generation