At Bering Lab, we are redefining the translation industry with our AI-powered SaaS platform designed to boost workflow productivity in the most complex and specialized domains. Our mission is to streamline the translation process, enabling businesses and individuals to communicate seamlessly across languages. As a rapidly growing startup, we value innovation, collaboration, and a relentless drive to push the boundaries of what's possible.
As global leaders in AI-driven translation for legal, patent, and life science industries, we serve over 300 clients across 12 major Asian and European languages. With headquarters in Seoul and offices in the US, Singapore and Hong Kong, we’re growing rapidly and fostering a culture of innovation, collaboration, and excellence.
Learn more at www.beringlab.com.
We are seeking a dynamic and experienced NLP Engineer to join our team and drive innovation in the field of NLP/NMT. This is a key role for a passionate professional looking to make an impact in a fast-growing tech company. You will collaborate closely with our leadership team to develop cutting-edge solutions in neural machine translation, AI, and localization technologies, shaping the future of our products and services.
Key Responsibilities:
- Training translation engines, improving performance, and expanding domains/languages
- Researching and engineering solutions to improve Neural Machine Translation (NMT) performance
- Developing models and conducting experiments for NMT-related technologies (Quality Estimation, Automatic Post-Editing, Word Alignment, etc.) and improving their performance
Qualifications:
- Experience with multilingual NLP and neural machine translation
- Understanding of state-of-the-art ML/NLP algorithms and related technologies
- Ability to understand, implement, and validate recent ML papers
- Proficiency with deep learning frameworks (PyTorch or TensorFlow)
- Ability to work proactively and produce results independently
Preferred Qualifications:
- Master's degree or higher in Natural Language Processing or a related field
- Strong performance in machine learning competitions (such as Kaggle, WMT) or having published papers in international academic conferences
