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 Research Scientist, Robust AI to join our team. In this role, you will be at the forefront of developing cutting-edge research in the field of Robust AI, with a focus on enhancing the robustness and generalization of Large Language Models (LLMs), Computer Vision, and Natural Language Processing (NLP) models.

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.

Main responsibilities:

• 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.

Qualifications:

• 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.

Preferred Qualifications:

• Experience with large language models and their applications.
• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, EMNLP).
• Experience with adversarial attacks and defenses.
• Knowledge of formal verification and certification techniques for AI systems.
• Deep knowledge of Transformer, CNN, and Diffusion architectures, and neural network editing.
• Proven success in designing lightweight, high-performance architectures and models for devices.
• Experience in bias detection and prevention, explainable AI, and robustness improvement.
• Experience with public cloud environments and mobile development.

We will start interviews immediately when suitable candidates are found, so do not hesitate to send in your application too long!