AI Researcher – Multilingual Data
Jobgether
Description du poste
About the role
Join a cutting‑edge research environment in Switzerland where multilingual AI innovation meets real‑world impact. As an AI Researcher you will lead the creation of high‑quality multilingual datasets and develop research strategies that power next‑generation language models across diverse languages and domains.
Key responsibilities
- Design and conduct research on multilingual datasets, including collection, filtering, deduplication, quality assessment and optimization.
- Develop strategies for low‑resource and long‑tail languages using advanced sampling, data augmentation and curriculum learning.
- Improve multilingual large language models by enhancing cross‑lingual transfer, alignment, robustness and representation learning.
- Build, maintain and refine multilingual evaluation benchmarks to measure model performance across languages.
- Collaborate with machine‑learning engineers and researchers to influence training pipelines, model architectures and production deployment.
- Publish research at leading AI/NLP conferences and contribute to open‑source initiatives.
- Translate research outcomes into practical improvements for production‑ready AI systems.
Required profile
- Advanced background in Natural Language Processing, Machine Learning or Artificial Intelligence.
- Proven research experience in multilingual or cross‑lingual language modeling with publications at conferences such as ACL, EMNLP, NeurIPS, ICML or ICLR.
- Hands‑on experience with large‑scale multilingual text datasets and modern ML workflows.
- Strong understanding of multilingual tokenization, vocabulary design, transfer learning, dataset quality assessment, filtering techniques and bias mitigation.
- Ability to work independently, manage research initiatives and deliver high‑quality results in a fast‑moving environment.
Required skills
- Python programming
- Deep‑learning frameworks: PyTorch or JAX
What we offer
- Opportunity to publish influential research and shape the future of multilingual AI.
- Collaboration with highly skilled experts in a fast‑paced, innovation‑driven setting.
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