AI Researcher – Multilingual Data

📋 Description

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

🎯 Requirements

• Advanced background in NLP, ML, AI, or related field.
• Proven multilingual cross-lingual NLP research with publications at ACL/EMNLP/NeurIPS/ICML/ICLR.
• Hands-on with large-scale multilingual datasets and modern ML workflows.
• Knowledge of multilingual tokenization, vocab design, transfer learning, representation learning, bias mitigation.
• Proficiency in Python and PyTorch or JAX.
• Experience with low-resource languages, non-Latin scripts, XTREME/FLORES, TyDi QA, or LLM training.

🎁 Benefits

• Competitive compensation package.
• Meaningful equity in an early-stage, high-growth company.
• Ownership over research direction and technical decisions.
• Balance academic research with production impact.
• Access to large multilingual datasets and modern AI infra.
• Collaborative culture valuing innovation and learning.