Perplexity

Seeking an ML Research Engineer to advance search technologies, focusing on retrieval and ranking. Responsibilities include architecting and building core search platform components, designing/training/optimizing large-scale deep learning models (PyTorch, distributed training), conducting research in representation learning (contrastive, multilingual, multimodal), deploying models, and building RAG pipelines. Requires deep understanding of search/retrieval, large-scale search/recommender systems experience, PyTorch proficiency, expertise in representation learning, and a strong publication record.

Internship role focused on advancing search quality through research and engineering of large-scale deep learning models, representation learning, and RAG pipelines. Involves distributed training, optimization, and evaluation of retrieval and ranking models.