AI Researcher – Multilingual Data

📋 Description

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• Design and conduct research on multilingual datasets (collection, filtering, dedup, quality).
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• Develop strategies for low-resource languages via sampling, augmentation, and curriculum learning.
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• Improve multilingual LLMs with cross-lingual transfer, alignment, robustness, and representation learning.
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• Build and refine multilingual evaluation benchmarks across languages.
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• Collaborate with ML engineers/researchers to influence training pipelines, architectures, deployment.
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• Translate research outcomes into practical improvements for production-ready AI systems.
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🎯 Requirements

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• Advanced background in NLP, ML, AI, or related field.
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• Publications in multilingual/cross-lingual LM (ACL/EMNLP/NeurIPS/ICML/ICLR).
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• Hands-on experience with large-scale multilingual datasets and modern ML workflows.
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• Strong knowledge of multilingual tokenization, vocab design, transfer learning, and bias mitigation.
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• Proficiency in Python and DL frameworks like PyTorch or JAX.
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• Ability to work independently and drive research in a fast-paced startup.
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🎁 Benefits

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• Competitive compensation package.
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• Meaningful equity opportunity within an early-stage, high-growth company.
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• Significant ownership over research direction and technical decision-making.
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• Opportunity to balance academic research with real-world production impact.
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• Access to large-scale multilingual datasets, modern AI infrastructure, and rapid experimentation cycles.
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• Collaborative environment that values innovation, research excellence, and continuous learning.
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