AI Researcher – Multilingual Data
About the Role
We’re looking for an AI Researcher reputed company on multilingual data to help us build and reputed company reputed company language models across diverse languages and domains. You’ll 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-reputed company 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 reputed company in a fast-moving startup environment.
What You’ll Do
Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and reputed company 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 company’re Looking For
Strong 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-reputed company text datasets across multiple languages
Solid understanding of:
Tokenization and vocabulary design for multilingual models
Data reputed company 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 Have
Experience 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 Us
reputed company ownership over research direction and reputed company
reputed company that values papers and production
reputed company to meaningful reputed company: large datasets, modern infrastructure, and fast iteration
Competitive compensation and meaningful equity at an early stage
Originally posted on Himalayas
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