AI Researcher – Multilingual Data

📋 Description

• Design multilingual dataset research: collection, filtering, deduplication, quality, and optimization.
• Develop strategies for low-resource languages via sampling, augmentation, and curriculum learning.
• Improve multilingual LLMs: cross-lingual transfer, alignment, robustness, and representation learning.
• Build and refine multilingual benchmarks to measure model quality across languages.
• Collaborate with ML engineers/researchers to influence training pipelines, architectures, and deployment.
• Publish research at AI/NLP conferences; contribute to open-source initiatives.

🎯 Requirements

• Advanced background in NLP, ML, AI, or related field.
• Proven multilingual/cross-lingual modeling research with publications at ACL/EMNLP/NeurIPS/ICML/ICLR.
• Hands-on with large-scale multilingual datasets and modern ML workflows.
• Multilingual tokenization, vocab design, transfer learning, and bias mitigation.
• Proficiency in Python with PyTorch or JAX.
• Independent work and research project management in a fast startup.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity in an early-stage, high-growth company.
• Significant ownership of research direction and decisions.
• Balance academic research with production impact.
• Access to large multilingual datasets and modern AI infrastructure.
• Publish at major AI/NLP conferences and open-source initiatives.