AI Researcher

Responsibilities

• Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement
• Develop strategies for low-resource and long-tail languages through sampling, augmentation, and 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 such as ACL, EMNLP, NeurIPS, ICML, or ICLR
• 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
• Experience working with large-scale text datasets across multiple languages
• Solid understanding of tokenization, vocabulary design, data quality metrics, and transfer learning
• Proficiency in prototyping with Python and modern ML frameworks like PyTorch or JAX
• Ability to operate independently in a fast-paced startup environment

Preferred Qualifications

• 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 like XTREME, FLORES, or TyDi QA

About the Company

We are a fast-moving startup focused on building and scaling next-generation language models across diverse languages and domains.