AI Researcher – Multilingual Data

📋 Description

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

🎯 Requirements

• Advanced background in NLP, ML, AI or related field.
• Proven research in multilingual/cross-lingual modeling with publications (ACL, EMNLP, NeurIPS, ICML, ICLR).
• Hands-on experience with large-scale multilingual text datasets and ML workflows.
• Strong understanding of multilingual tokenization, vocab design, transfer learning, bias mitigation.
• Proficiency in Python and PyTorch or JAX.
• Ability to work independently and deliver in a fast-moving startup.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity opportunity in an early-stage, high-growth company.
• Ownership over research direction and technical decision-making.
• Balance academic research with real-world production impact.
• Access to large-scale multilingual datasets, AI infrastructure, rapid experimentation.
• Opportunity to publish at leading AI conferences and contribute to open-source.