AI Researcher – Multilingual Data

Overview

This role offers the chance to work in a progressive research setting focused on multilingual artificial intelligence, particularly within Ireland. As an AI Researcher specialized in multilingual data, you will spearhead the creation and refinement of high-caliber multilingual datasets and study methodologies that fuel advanced language models spanning various languages and fields. The position blends research with engineering duties, enabling the translation of theoretical insights into scalable production systems, while actively contributing to cutting-edge progress in natural language processing.

Primary Responsibilities

• Plan and execute research projects centered on multilingual data involving tasks such as collection, cleaning, filtering, deduplication, quality evaluation, and optimization.
• Devise novel approaches for underrepresented and long-tail languages utilizing techniques like advanced data sampling, augmentation, and curriculum learning.
• Enhance multilingual large language models by improving cross-lingual transferability, alignment, robustness, and representation learning.
• Create and maintain multilingual evaluation benchmarks to continuously assess model accuracy and efficacy across different languages.
• Engage closely with machine learning engineers and fellow researchers to shape training processes, model designs, and deployment strategies in production environments.
• Publish research output in top AI and NLP conferences, and contribute to open-source projects where applicable.
• Implement research findings to strengthen AI systems ready for production use.

Qualifications and Requirements

• Advanced academic or professional background in natural language processing, machine learning, artificial intelligence, or related disciplines.
• Demonstrable research track record in multilingual or cross-lingual language modeling, including publications in prestigious conferences or journals like ACL, EMNLP, NeurIPS, ICML, or ICLR.
• Practical experience managing large-scale multilingual textual datasets and expertise with contemporary machine learning workflows.
• Comprehensive knowledge of multilingual tokenization, vocabulary development, transfer learning, representation learning, dataset quality control, filtering methods, and bias mitigation strategies.
• Proficiency in Python programming and with deep learning frameworks such as PyTorch or JAX.
• Capability to independently drive research initiatives and achieve superior outcomes within a dynamic startup context.
• Familiarity with low-resource languages, non-Latin script processing, multilingual evaluation standards (e.g., XTREME, FLORES, TyDi QA), open-source NLP ecosystems, or large-scale language model training is valued.

Benefits and Opportunities

• Attractive and competitive salary offer.
• Potential equity participation within a rapidly expanding early-stage company.
• Substantial influence over research priorities and technological decisions.
• Unique balance between rigorous academic inquiry and practical deployment impact.
• Access to expansive multilingual datasets and cutting-edge AI infrastructure facilitating swift experimentation.
• A culture fostering innovation, research excellence, and ongoing learning collaborations.
• Opportunities to disseminate work at internationally recognized AI and NLP events and contribute to impactful open-source projects.

Additional Information

This opportunity is represented by an intermediary organization which directs application review and progression. Selection decisions and subsequent recruitment steps are conducted by the employing partner team. Applicants' personal data will be processed in compliance with privacy regulations and may involve AI-assisted application assessments to supplement recruiter review, though final hiring choices remain human-led.