AI Researcher - Multilingual Data - vacante remota

La empresa Featherless AI busca cubrir el puesto de AI Researcher - Multilingual Data. La vacante pertenece al área de IT y programación y es totalmente remota. La empresa no pone ninguna restricción sobre el lugar de residencia, así que usted puede postular desde donde vive.

Las herramientas principales que nombra el anuncio son: Python, Machine Learning. El CV debería mostrar ejemplos concretos justo de esas capacidades.

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About the Role We’re looking for an AI Researcher focused on multilingual data to help us build and scale next-generation 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-quality research and translating it into production systems. This role is ideal for someone who enjoys working close to the frontier: balancing papers, prototypes, and real-world impact in a fast-moving startup environment. What You’ll Do

* Design and execute research on multilingual datasets , including data collection, filtering, deduplication, and quality measurement

* Develop 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 decisions

* Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate

* Translate research insights into practical improvements in production models

What We’re Looking For

* Strong background in NLP / ML research , with a focus 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

Nice to Have

* Experience with low-resource languages or non-Latin scripts

* Open-source 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

* Real ownership over research direction and impact

* A team that values papers and production

* Access to meaningful scale: large datasets, modern infrastructure, and fast iteration

* Competitive compensation and meaningful equity at an early stage

Originally posted on Himalayas