AI Researcher - Multilingual Data - удалённая вакансия

Featherless AI ищет специалиста на позицию AI Researcher - Multilingual Data. Вакансия относится к направлению IT и программирование и полностью удалённая. Компания не ограничивает местоположение кандидата, поэтому подать заявку можно откуда угодно.

Основные инструменты, названные в объявлении: Python, Machine Learning. В резюме нужны конкретные примеры именно этих навыков.

Работодатель не указал сумму публично, это уточняется на собеседовании. Условий по рабочим часам объявление не ставит.

Эта вакансия прошла автоматическую проверку: в список не попадают объявления, где требуется иностранное разрешение на работу, спонсорство визы, гражданство определённой страны или проживание в ней.

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