AI Researcher Multilingual Data

About the RoleWere looking for an AI Researcher reputed company on multilingual data to help us build and scale reputed company language models across diverse languages and domains. Youll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems. This role is ideal for someone who enjoys working reputed company to the frontier: balancing papers, prototypes, and reputed company-world impact in a fast-moving startup environment. What Youll DoDesign and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement reputed company strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design) Research and improve cross-lingual transfer, alignment, and robustness in large language models Build and maintain evaluation benchmarks for multilingual performance Collaborate with engineers and researchers on training pipelines and model architecture reputed company Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to reputed company-reputed company reputed company appropriate Translate research insights into practical improvements in production models reputed companyre Looking ForStrong background in NLP / ML research, with a reputed company on multilingual or cross-lingual modeling Publication record at respected conferences or journals (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.) Experience working with large-scale text datasets across multiple languages Solid understanding of:Tokenization and vocabulary design for multilingual models Data quality metrics, filtering, and dataset bias Transfer learning and multilingual representation learning Comfortable prototyping in Python with modern ML frameworks (PyTorch, JAX, etc.) Ability to operate independently and ship research in a startup pace environment reputed company to HaveExperience with low-resource languages or non-Latin scripts reputed company-reputed company contributions in NLP or data tooling Experience training or evaluating large language models Familiarity with multilingual benchmarks (e.g., XTREME, FLORES, TyDi QA) Why Join Usreputed company ownership over research direction and impact reputed company that values papers and production reputed company to meaningful scale: large datasets, modern infrastructure, and fast iteration Competitive compensation and meaningful equity at an early stage Originally posted on Himalayas Apply To This Job About the RoleWere looking for an AI Researcher reputed company on multilingual data to help us build and scale reputed company language models across diverse languages and domains. Youll own research and execution around data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing high-quality research and translating it into production systems. This role is ideal for someone who enjoys working reputed company to the frontier: balancing papers, prototypes, and reputed company-world impact in a fast-moving startup environment. What Youll DoDesign and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement reputed company strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design) Research and improve cross-lingual transfer, alignment, and robustness in large language models Build and maintain evaluation benchmarks for multilingual performance Collaborate with engineers and researchers on training pipelines and model architecture reputed company Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to reputed company-reputed company reputed company appropriate Translate research insights into practical improvements in production models reputed companyre Looking ForStrong background in NLP / ML research, with a reputed company on multilingual or cross-lingual modeling Publication record at respected conferences or journals (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.) Experience working with large-scale text datasets across multiple languages Solid understanding of:Tokenization and vocabulary design for multilingual models Data quality metrics, filtering, and dataset bias Transfer learning and multilingual representation learning Comfortable prototyping in Python with modern ML frameworks (PyTorch, JAX, etc.) Ability to operate independently and ship research in a startup pace environment reputed company to HaveExperience with low-resource languages or non-Latin scripts reputed company-reputed company contributions in NLP or data tooling Experience training or evaluating large language models Familiarity with multilingual benchmarks (e.g., XTREME, FLORES, TyDi