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Principal Research Scientist, Trust & Safety

huaweifinlandrnd
Companyhuaweifinlandrnd
CategoryScience & Research
Location
Remote
EmploymentNot stated
LevelLead
SalaryNot stated by the employer
Posted25 Feb 2026
Last verified10 Aug 2026
SourceEmployer ATS (teamtailor)
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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. Content Security Lab in Helsinki Research Center’s mission to advancing technology to protect the online safety of Huawei mobile users in Harmony OS ecosystem. We build advance AI detection solutions to ensure content safety and safety in LLM/VLM/agentic AI such as harmful content detection, agentic AI safety and machine unlearning. We are looking for a passionate and motivated technical leader with a solid track record of solving challenging problems, advancing state-of-the-art, and demonstrated passion for ground-breaking research that could be scaled to production environment with an emphasis on the intersection of AI and Safety. Responsibilities Lead the research, design and development of highly trustworthy, robust and reliable, high performance, efficient detection solutions, generative service and Safe Agentic AI systems. Contribute to the development of Online Safety Research Roadmap to advance AI-based detection solution and ensure the safety of AI systems of classification, generative AI and agentic AI systems. Provide technology insights and research proposal for advancing the state-of-the-art research and development. Design and evaluate solution architecture and design, assess the competitiveness of the technology. Conduct hands-on research and experiments in collaboration with team members. Establish collaboration with universities and cross-functional teams within the company. Active communication with internal stakeholders and external audiences. Requirements PhD in Computer Science, Deep Learning, Machine Learning, Mathematics or other related fields. 8+ years of experience, focused on the research in AI and/or Security field with a strong track record and high motivation to the Trust & Safety domain. Proven experience in designing and building efficient, high‑performance LLMs/VLMs and agentic AI / reasoning systems, including model architecture, optimization and large‑scale deployment. Successful experience in advanced AI in aligning AI with human values and expectations such as RLHF, adversarial training, neural network editing, formal logic & game theory, capabilities to detect and understand risks, intent modeling and reasoning, robustness, capabilities of understanding local cultures and explainable AI. Experience in security threat or abuse detection, deep fake detection, fairness, transparency, robust and explainable AI is a plus. Experience implementing solution that comply with EU online safety regulations and privacy protection laws (e.g., Digital Service Act, GDPR, AI Act) is a plus. Ability to explain complex technical concepts at every level in the organization and transform the concepts into product. Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a big bonus. International awards in the field of AI/ML/CV and highly recognized by experts of the same field. Strong knowledge and experience in LLM/VLM pre‑training models, neural network architecture and algorithm design. Strong publication record in top conferences e.g., AAAI/ACL/CVPR/ICCV/EMNLP/NAACL. Demonstrated ability to collaborate effectively in multicultural teams, with a proactive mindset and a passion for challenging the status quo. Location: Helsinki, Finland. Why join us? As a Principal Research Scientist you will define Huawei’s strategy in AI Security, Machine Unlearning, and high‑performance LLM/VLM and agentic reasoning systems