2025 Natural Language Understanding (NLU) Researcher

Huawei Consumer Business Group is the leader in the all-scenario AI life. It covers smartphones, PC and tablets, wearables, mobile broadband devices, family devices and device cloud services. Huawei Consumer Business Group is dedicated to delivering the latest technologies to consumers and sharing the happiness of technological advances with more people around the world. We believe in creating safe, privacy-friendly with great user experience and quality products for our consumers.

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.
  
  

Requirements

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.
  
  

If you're ready for a challenge that makes a global impact, your next great opportunity is with us.