Research Scientist — NLP

Role overview Conduct foundational and applied natural language processing research, advancing language models through new methods that can improve product capabilities. The work spans experimental design, model and evaluation development, collaboration with engineering on deployment, and sharing research through publications and presentations.

Responsibilities - Design and run experiments aimed at improving model quality, robustness, and generalization. - Develop architectures, training approaches, and evaluation methods for language models. - Partner with engineering to bring research prototypes into scalable production use. - Publish findings, present at conferences, and keep experiment code reproducible. - Mentor junior researchers and help set priorities for research work.

Requirements - A PhD or master’s degree with substantial research experience in NLP or machine learning. - Hands-on experience with PyTorch or TensorFlow and training transformer models. - Strong knowledge of statistics, optimization, and language model evaluation metrics. - Experience with distributed training at scale and data pipelines.

Nice to have Top-tier publications or a record of research contributions such as papers and open-source work.

Benefits and work setup Full-time research role with global remote or hybrid options and a flexible schedule. Support includes salary and equity, dedicated research compute such as GPU or TPU credits, conference travel and publication assistance, and access to internal datasets and annotated corpora.