Senior Researcher, Multimodal Reasoning at Huawei Technologies Co. Ltd - Qatar

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Multimodal Reasoning, Large Language Models, Visual Question Answering, Knowledge Graphs, Neural-symbolic Techniques, Computer Vision, Deep Learning, Machine Learning, Python, Java, C++, PyTorch, TensorFlow, Graph Neural Networks, AI Architecture, Data Benchmarking

Industry

Telecommunications

Description

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. We believe in creating safe, privacy-friendly, and high-quality products with great user experiences for our consumers. The mission of Cloud Content Security Lab at our Helsinki Research Center is to protect the online safety of Huawei mobile users within the Harmony OS ecosystem through technological advancements. We build advance AI detection solutions to ensure content safety, safety in AI. We are seeking a talented and innovative Reasoning Researcher to join our team and contribute to the development of advanced AI systems capable of understanding and reasoning over complex multimodal data. As a Reasoning Researcher, you will be at the forefront of pushing the boundaries of AI, focusing on developing novel techniques for multimodal understanding and reasoning. Your responsibilities: · Explore novel techniques for visual question answering, visual reasoning, text-based reasoning, and multimodal knowledge grounding. · Design and implement new architecture to enable AI systems to understand and reason over complex multimodal data, such as images, videos, text and cultural knowledge. · Explore the use of knowledge graphs and other neural-symbolic techniques to enhance reasoning capabilities. · Design and develop efficient neural network architecture. · Build rigorous benchmarks and datasets to measure the quality of reasoning capabilities and reliability. Requirements: · Ph.D. in Computer Science, Deep Learning, Machine Learning, Mathematics or other related fields. · Strong theoretical foundation in machine learning, deep learning, and artificial intelligence. · Strong proficiency in Large Language Models (LLMs/VLMs), neural networks, and computer vision architectures, graph neural networks. · Strong background in Python, Java, or C++, with deep knowledge of ML frameworks such as PyTorch, TensorFlow. · Excellent problem-solving and analytical skills. · Successful experience in developing high performance and robust multimodal understanding solution, fast and efficient model architectures is highly valued. · Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a big bonus. · A strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI, IJCAI). · Good teamwork, enjoy working with multi‑culture teams, passionate in challenging the status quo. Why join us? Join a high‑caliber lab: Work in our Cloud Content Security Lab in Ruoholahti, Helsinki, alongside experienced international researchers and engineers in a focused environment that values scientific excellence, depth, and real impact to protect millions of Huawei Mobile users.

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Responsibilities

The researcher will develop advanced AI systems for multimodal understanding and reasoning, including visual and text-based analysis. They will also design efficient neural network architectures and build rigorous benchmarks to ensure the quality and reliability of AI content safety solutions.