AI Researcher – Multilingual Data

📋 Description

• Design and conduct research on multilingual datasets: collection, filtering, deduplication, and quality optimization.
• Develop strategies for low-resource and long-tail languages using sampling, augmentation, and curriculum learning.
• Advance multilingual LLMs by improving cross-lingual transfer, alignment, robustness, and representations.
• Build and refine multilingual benchmarks to measure model quality across languages.
• Collaborate with ML engineers and researchers to influence training pipelines, architectures, and deployment strategies.
• Publish research findings at leading AI/NLP conferences and contribute to open-source initiatives.

🎯 Requirements

• Advanced background in NLP, ML, AI, or a closely related field.
• Proven research in multilingual or cross-lingual language modeling with publications at top venues.
• Hands-on experience with large-scale multilingual text datasets and modern ML workflows.
• Strong understanding of multilingual tokenization, vocabulary design, transfer learning, multilingual representation learning, data quality, filtering, and bias mitigation.
• Proficiency in Python and modern deep learning frameworks such as PyTorch or JAX.
• Ability to work independently, manage research initiatives, and deliver high-quality results in a fast-moving startup environment.

🎁 Benefits

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