AI Researcher – Multilingual Data

📋 Description

• Design and conduct multilingual dataset research (collection, filtering, quality)
• Develop strategies for low-resource languages via sampling and data augmentation
• Improve multilingual LLMs with cross-lingual transfer, alignment, robustness
• Build and refine multilingual evaluation benchmarks across languages
• Collaborate with ML engineers on training pipelines and deployment
• Publish research at AI/NLP conferences; contribute to open-source

🎯 Requirements

• Advanced background in NLP, ML, AI or related field
• Proven multilingual/cross-lingual modeling research with publications
• Hands-on experience with large-scale multilingual text datasets and modern ML workflows
• Strong understanding of multilingual tokenization, vocabulary design, transfer learning, and bias mitigation
• Proficiency in Python and PyTorch or JAX
• Experience with low-resource languages, non-Latin scripts, XTREME/FLORES/TyDi QA or open-source NLP projects

🎁 Benefits

• Competitive compensation package
• Meaningful equity opportunity within an early-stage, high-growth company
• Significant ownership over research direction and technical decision-making
• Opportunity to balance academic research with real-world production impact