AI Researcher – Multilingual Data
About the role
Featherless AI is hiring an AI Researcher to own multilingual data research for next-generation language models. You'll design and execute research on data sourcing, curation, evaluation, and training strategies for multilingual and low-resource languages, with a strong emphasis on publishing at top venues and translating findings into production systems.
What you'll do
- Design and execute research on multilingual datasets — 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 model performance
- Publish research at top-tier venues (ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate
- Translate research insights into practical improvements in production models
Requirements
- 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/vocabulary design for multilingual models, data quality metrics, filtering, and transfer learning
- Fluency in Python with modern ML frameworks (PyTorch, JAX, etc.)
- Ability to operate independently and ship research in a fast-paced startup environment
About Featherless AI
Featherless AI is a Series A startup building high-performance serverless AI inference infrastructure. The company develops and deploys large language models with a focus on efficiency, quality, and global language coverage across multilingual and low-resource languages.
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