Advanced AI Researcher

2 weeks ago


Helsinki, Uusimaa, Finland Huawei Full time

Job Description

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We are seeking a highly skilled and innovative Research Scientist specializing in Robust AI to join our team. As a key contributor, you will be at the forefront of developing cutting-edge research in the field of Robust AI, focusing on enhancing the robustness and generalization of Large Language Models (LLMs), Computer Vision, and Natural Language Processing (NLP) models.

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Main Responsibilities

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  • Conduct cutting-edge research to improve the robustness and generalization of AI models, particularly LLMs, Computer Vision, and NLP models.">
  • Develop innovative techniques to mitigate adversarial attacks, data poisoning, and other security threats.">
  • Explore and implement methods to enhance model reliability and reduce bias.">
  • Collaborate with cross-functional teams to apply robust AI techniques to real-world products and services.">
  • Publish research papers at top-tier conferences and journals.">
  • Participate in defining the research roadmap for robust AI and content security.">
  • Conduct research to advance the state-of-the-art in robust AI techniques and content security solutions.">
  • Collaborate with other researchers and industry experts to explore new ideas and approaches.">
  • Stay up-to-date with the latest advancements in AI research and industry trends.">
  • Design new features, identify and design the right metrics, and perform data analysis to drive decision-making.">
  • Effectively communicate research findings and recommendations to technical and non-technical audiences.">
  • Contribute to the development of robust AI guidelines and best practices.">
  • Collaborate with security teams to identify and address potential vulnerabilities in AI systems.">
  • Develop tools and techniques to assess the robustness and reliability of AI models.">
  • Promote the ethical and responsible use of AI technologies.">
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Required Skills and Qualifications

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  • PhD in Computer Science, Electrical Engineering, or a related field.">
  • Strong theoretical foundation in machine learning, deep learning, and AI.">
  • Proven experience in research and development of robust AI techniques, particularly in computer vision, multimodal AI, and generative AI.">
  • Proficiency in programming languages such as Python.">
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).">
  • Strong problem-solving and analytical skills.">
  • Excellent communication and collaboration skills.">
  • A passion for research and a desire to push the boundaries of AI.">


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