MongoDBPalo Alto, CAConduct frontier AI research on LLMs, embedding models, and rerankers for RAG and semantic search. Requires PhD in CS or related field plus strong publication record in top ML venues.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Conduct cutting-edge research on Large Language Models, focusing on transformer optimization, distributed training, data curation, and RL. Collaborate on experiments, deploy models to production, and drive voice AI innovations.
Pioneers Latent Space Models to solve core challenges in voice AI, developing neural audio codecs, generative speech models, and scalable multimodal systems. Requires strong expertise in statistical learning, foundation models, and bridging theory to efficient deployment.
Conducts advanced research in AI, machine learning, or related fields, developing novel algorithms and publishing results. Requires PhD and strong publication record.
Develops state-of-the-art VQA systems for medical records using advanced NLP and CV techniques to achieve expert-level accuracy in document analysis. Requires deep expertise in NLP/CV, strong software engineering, and ability to work with noisy data in healthcare domain.