AI Researcher – Multilingual Data

📋 Description

• Design research on multilingual datasets: data collection, filtering, deduplication, quality.
• Develop strategies for low-resource languages via sampling, augmentation, and curriculum learning.
• Improve multilingual LLMs via cross-lingual transfer and robust representation learning.
• Build, maintain, and refine multilingual evaluation benchmarks across languages.
• Collaborate with ML engineers and researchers to influence training pipelines, architectures, deployment.
• Publish research at AI/NLP conferences and contribute to open-source projects.

🎯 Requirements

• Advanced background in NLP, ML, AI, or related field.
• Proven multilingual or cross-lingual LM research with publications at major conferences.
• Hands-on with large-scale multilingual text data and modern ML workflows.
• Strong multilingual tokenization, vocab design, transfer learning, representation learning, data quality, filtering, and bias mitigation.
• Proficiency in Python and PyTorch or JAX.
• Ability to work independently and manage research in a fast-moving startup.

🎁 Benefits

• Competitive compensation.
• Meaningful equity in an early-stage, high-growth company.
• Ownership over research direction and technical decisions.
• Balance academic research with real-world production impact.
• Access to large multilingual datasets and modern AI infrastructure.
• Publish at top AI/NLP conferences and contribute to open-source.