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We are seeking a highly skilled and innovative NLU Researcher to join our team. In this role, you will be at the forefront of pushing the boundaries of natural language understanding, developing cutting-edge techniques to enhance our products and services. You will collaborate with a talented team of researchers, engineers, and product managers to solve complex challenges and deliver impactful solutions.
Location: This position is located at our R&D office in Ruoholahti, Helsinki, Finland.
This is a full-time consultant position. The consultant shall be employed by Huawei's supplier.
We will proceed with hiring as soon as we find a suitable candidate.
Main responsibilities:
- Conduct advanced research in NLU, focusing on cutting-edge techniques for complex language understanding challenges, including content safety.
- Design, implement, and optimize state-of-the-art NLU models.
- Analyze large multilingual datasets to extract insights and improve model performance.
- Experiment with different approaches to identify optimal solutions.
- Collaborate with cross-functional teams to integrate NLU solutions.
- Stay updated on the latest ML techniques and technologies.
- Explore research opportunities and collaborate with academia.
- Participate in defining content policy and research roadmaps.
- Perform data analysis to inform decision-making and monitor model performance.
- Evaluate new features and data sources to improve model capabilities.
- Identify and track relevant metrics to measure model impact.
- Communicate findings and recommendations effectively through visualizations and reports.
Sounds like a match for your career aspiration? Please apply if you have:
- PhD in Computer Science, Linguistics, or a related field with a strong focus on natural language processing.
- Proven experience in NLP and Computer Vision/Machine Learning.
- Strong foundation in machine learning, deep learning, and natural language processing.
- Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with multilingual text analysis, Transformers, knowledge representation, and knowledge graphs.
- A strong track record of research and publications at top-tier conferences (e.g., ACL, EMNLP, NeurIPS, ICLR, ICML).
- Knowledge of public cloud environments and technologies.
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