2026 - Senior Machine Learning Engineer - Generative Vision & Video - Contractor - Huaweiireland

Location: Dublin, Ireland

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognized technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognized multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. The IRC will work closely with an open, innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

About The Role

The Terminal Cloud Technology Lab is looking for a Senior Machine Learning Engineer to drive the development of our next-generation content intelligence systems, with a strong focus on generative vision and video . In this role, you will have the opportunities to explore areas such as image and video generation, controllable content editing, multimodal understanding, 3D-aware generation, and intelligent visual adaptation. You will work on research-driven problems with clear product relevance, turning promising machine learning techniques into practical prototypes and scalable solutions. The position is open to candidates with different levels of industry experience. Level and scope will be calibrated based on technical depth, research capability, and relevant experience

Key Responsibilities

• Research, implement, and evaluate state-of-the-art methods in generative vision, video generation, and multimodal AI

• Develop and prototype algorithms for image/video generation, editing, enhancement, and visual content adaptation

• Explore methods for improving controllability, temporal consistency, spatial consistency, structure preservation, and visual quality

• Investigate multimodal and structured conditioning approaches for more controllable and context-aware generation

• Design experiments, datasets, benchmarks, and evaluation methodologies to assess model quality and generalization

• Analyze model failure modes and propose improvements to model architecture, training strategy, data, and evaluation

• Adapt and fine-tune existing foundation models where appropriate, while exploring new modelling approaches when needed