Location Dublin, Ireland Job Description Senior Machine Learning Engineer – Terminal Cloud Technology Lab The Terminal Cloud Technology Lab is looking for a Senior Machine Learning Engineer to drive the development of our next-generation content intelligence systems. In this role, you will be a key technical contributor in developing complex multimodal understanding solutions across video, audio, image, and text. Leveraging cutting‑edge Multimodal Large Language Models (MLLMs), you will build and optimize a self‑evolving content analysis ecosystem. Your work will be instrumental in enhancing our core recommendation engine, directly impacting product performance and user engagement through advanced content signals. Responsibilities Develop and optimize multimodal frameworks focused on semantic understanding, narrative reasoning, and high-level content interpretation. Own end‑to‑end development of high‑performance systems that drive algorithmic innovation and resolve high‑impact technical bottlenecks. Collaborate closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines. Ensure models are accurate yet optimized for low‑latency inference and high‑concurrency production environments. Basic Qualifications Education: Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field. Experience: 5–8+ years of professional experience in AI/ML research or advanced engineering (industry experience preferred). Technical depth in at least two of the following areas: multimodal learning, computer vision, NLP, or ML frameworks (PyTorch, TensorFlow, or JAX). Experience with Multimodal Large Language Models (MLLM/VLM) is essential. Production skills: Proven track record of deploying large‑scale AI models in production. Preferred Qualifications Contributions to high‑impact projects or publications at top‑tier conferences (CVPR, ICCV, NeurIPS). Experience building automated content tagging or recommendation signals from the ground up. Domain knowledge in digital signal processing for audio or aesthetic evaluation for images/video. Legal/Privacy Please read our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received. Privacy Notice: http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html #J-18808-Ljbffr
Huawei Ireland Research Center is seeking a Senior Machine Learning Engineer to advance next-generation content intelligence systems. This pivotal role involves developing multimodal understanding solutions across video, audio, image, and text, leveraging cutting-edge Multimodal Large Language Models. Responsibilities include optimizing frameworks for high-performance systems, driving algorithmic innovation, and enhancing recommendation engines. Ideal candidates possess a Master’s or PhD in related fields and 5-8+ years of experience in AI/ML research or advanced engineering. #J-18808-Ljbffr
Location: Dublin, Ireland About The Role We are looking for a Senior Machine Learning Engineer to drive the development of our next‑generation content intelligence systems. In this role, you will be a key technical contributor in developing complex multimodal understanding solutions across video, audio, image, and text. Leveraging cutting‑edge Multimodal Large Language Models (MLLMs), you will build and optimize a self‑evolving content analysis ecosystem. Your work will be instrumental in enhancing our core recommendation engine, directly impacting product performance and user engagement through advanced content signals. Key Responsibilities Develop & optimize multimodal frameworks focused on semantic understanding, narrative reasoning, and high‑level content interpretation. Own end‑to‑end development of high‑performance systems that drive algorithmic innovation and resolve high‑impact technical bottlenecks. Work closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines. Ensure models are accurate and optimized for low‑latency inference and high‑concurrency production environments. Requirements Education: Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field. Experience: 5–8+ years of professional experience in AI/ML research or advanced engineering (industry experience preferred). Technical Depth: Strong hands‑on experience in at least two of the following: Multimodal learning – integration of video, text, image, and audio signals. Computer vision – video understanding, temporal modeling, or representation learning. NLP – semantic modeling, content quality assessment, or news stream analysis. Frameworks: Expert proficiency in PyTorch, TensorFlow, or JAX. MLLM/VLM Expertise: Practical experience working with or fine‑tuning Multimodal Large Language Models. Production Skills: Proven track record of deploying large‑scale AI models in production environments. Preferred Qualifications Track record of contributions to high‑impact projects or publications in top‑tier conferences (e.g., CVPR, ICCV, NeurIPS). System Design: Experience building automated content tagging or recommendation signals from the ground up. Domain Knowledge: Familiarity with digital signal processing for audio or aesthetic evaluation for images/video. #J-18808-Ljbffr
Huawei Ireland Research Center seeks a Senior Machine Learning Engineer to develop next-generation content intelligence systems. The role involves leading the design and optimization of multimodal frameworks, collaborating with teams for integration, and ensuring scalability and performance. Candidates should have a Master’s or PhD in Computer Science or related field, along with 5–8+ years in AI/ML research, and proficiency in frameworks such as PyTorch, TensorFlow, or JAX. This is a key position influencing product performance and user engagement. #J-18808-Ljbffr
Location: Dublin, Ireland About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. About the IRC Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognised 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 Job The Terminal Cloud Technology Lab is seeking a visionary Technical Leader to pioneer the next generation of content intelligence. In this role, you will build and lead a high‑performing local algorithm team dedicated to solving complex multimodal understanding challenges across video, audio, image, and text. Leveraging cutting‑edge Multimodal Large Language Models (MLLMs), you will architect a self‑evolving content analysis ecosystem. Your work will directly empower our core recommendation engine to achieve a transformative leap in product performance and user engagement. Responsibilities Define and Lead Frameworks: Establish multimodal content intelligence frameworks focused on semantic understanding, narrative reasoning, and high‑level content interpretation across video, text, image, and audio. Roadmap Ownership: Define the mid‑to‑long‑term technical strategy for content understanding, ensuring alignment between state‑of‑the‑art AI research and core business growth objectives. Architect Scalable Systems: Build and oversee large‑scale systems for automated semantic tagging, categorization, and content classification to replace traditional manual processes. Global Collaboration: Define the long‑term technical direction and work closely with global research, product, and engineering teams to integrate content intelligence into core recommendation and discovery systems. Team Leadership: Build and mentor a world‑class local team of AI/ML experts, fostering a culture of technical excellence and product‑driven innovation. Help the team solve high‑impact technical challenges such as building a self‑evolving tagging system that supports open‑vocabulary recognition and automated reconstruction of existing tag trees to match rapid business growth. Model popularity and trend prediction by identifying highlights and dramatic elements in videos, or rhythmic and melodic patterns in music, to forecast distribution performance. Architect a comprehensive quality evaluation system to filter and identify premium content across diverse categories, such as mini‑dramas, spatial audio, and images. Basic Qualifications PhD in Computer Science, AI, Machine Learning or related field 10+ years experience in AI / ML research or advanced engineering Strong experience in several of the following areas: Multimodal learning (video, text, image, audio); Video understanding, temporal modelling, or sequence modelling; NLP / text understanding (e.g. content quality, news stream analysis, semantic evaluation); Content classification, tagging, recommendation, or search systems Hands‑on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX Experience working with multimodal or vision‑language models (VLM / MLLM) Experience building or deploying large‑scale AI systems in production environments Strong understanding of evaluation methodologies, data pipelines, or content intelligence systems Preferred Qualifications Research Excellence: A strong publication record in top‑tier international conferences (e.g., CVPR, ICCV, NeurIPS). Proven Impact: Experience building large‑scale content understanding platforms or automated tagging systems from scratch. Passionate about staying at the forefront of Generative AI and Multimodal LLMs. Privacy Statement Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received. http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html #J-18808-Ljbffr
Huawei Ireland Research Center seeks a Technical Leader to drive innovation in content intelligence. This position involves leading a local team to tackle complex understanding challenges across various forms of media, utilizing advanced AI methods. A PhD in related fields and over 10 years of experience in AI/ML are required. The successful candidate will design scalable systems for content classification and collaborate globally to integrate AI solutions into product offerings. The role is based in Dublin, Ireland, and offers opportunities in a dynamic tech environment. #J-18808-Ljbffr
Location: Dublin, Ireland About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home, and organization for a fully connected, intelligent world. At Huawei, we have two key drivers of innovation: science and technology, and customer needs. Both commercial value and market demands are driving our innovation and determining how we invest in science and technology. Breakthroughs in technology, in return, stimulate customer needs and allow us to create greater value for customers. About the IRC Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognised 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 Job The Terminal Cloud Technology Lab is looking for a Senior Machine Learning Engineer to drive the development of our next‑generation content intelligence systems. In this role, you will be a key technical contributor in developing complex multimodal understanding solutions across video, audio, image, and text. Leveraging cutting‑edge Multimodal Large Language Models (MLLMs), you will build and optimise a self‑evolving content analysis ecosystem. Your work will be instrumental in enhancing our core recommendation engine, directly impacting product performance and user engagement through advanced content signals. Responsibilities Develop & Optimize Frameworks: Lead the implementation of multimodal frameworks focused on semantic understanding, narrative reasoning, and high‑level content interpretation. Technical Execution: Own the end‑to‑end development of high‑performance systems that drive algorithmic innovation and resolve high‑impact technical bottlenecks. Collaboration & Integration: Work closely with cross‑functional teams to integrate content signals into production recommendation and discovery pipelines. Scalability & Performance: Ensure models are not only accurate but also optimised for low‑latency inference and high‑concurrency production environments. Basic Qualifications Education: Master’s or PhD in Computer Science, AI, Machine Learning, or a related quantitative field. Experience: 5–8+ years of professional experience in AI/ML research or advanced engineering (industry experience preferred). Technical Depth Multimodal Learning: Integration of video, text, image, and audio signals. Computer Vision: Video understanding, temporal modelling, or representation learning. NLP: Semantic modelling, content quality assessment, or news stream analysis. Frameworks: Expert proficiency in PyTorch, TensorFlow, or JAX. MLLM/VLM Expertise: Practical experience working with or fine‑tuning Multimodal Large Language Models. Production Skills: Proven track‑record of deploying large‑scale AI models in production environments. Preferred Qualifications Track Record: Contributions to high‑impact projects or publications in top‑tier conferences (e.g., CVPR, ICCV, NeurIPS). System Design: Experience building automated content tagging or recommendation signals from the ground up. Domain Knowledge: Familiarity with Digital Signal Processing for audio or aesthetic evaluation for images/video. Privacy Statement Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received. #J-18808-Ljbffr
Role Overview We are seeking a Senior R&D Engineer to join our Game Rendering Acceleration Lab, focusing on low-level analysis and implementation of rendering improvements in shipped game binaries on Huawei devices, including mobile platforms and laptops. This role involves both reverse engineering and development work. You will examine binary game code to understand how rendering behaves on Huawei hardware, and then implement changes to improve performance, stability, or visual output. The work relies on reverse engineering tools, and requires moving from binary analysis to practical modifications in the rendering pipeline. Core Responsibilities Analyze compiled game binaries to trace rendering pipelines, GPU interactions, and execution flow on Huawei devices. Use widely known reverse engineering tools as well as internal code analysis frameworks to decompile, annotate, and interpret low-level code. Investigate driver behavior, hardware scheduling, and memory usage patterns to understand how rendering workloads are executed on-device. Identify device-specific rendering logic, bottlenecks, and inefficiencies tied to Huawei chipsets and GPUs (mobile and laptop). Implement code-level changes, such as hooks, patches, or alternative rendering paths, and validate them through profiling and debugging. Modify or extend rendering behavior without access to original source code where necessary. Translate low-level findings (disassembly, traces) into concrete engineering tasks or improvements. Work with other engineers to integrate and maintain changes. Build small tools or scripts to support analysis and implementation. Required Qualifications Strong systems programming skills in C/C++ and experience with assembly (ARM and/or Intel). Solid understanding of OS internals, memory management (MMU), and scheduling. Experience with reverse engineering and binary analysis, including hands‑on use of those tools. Good understanding of graphics pipelines and low-level APIs (e.g., Vulkan, OpenGL ES, Metal, or DirectX 12). Familiarity with modern GPU architectures (e.g., Mali, Adreno) and how workloads are executed on them. Ability to work with incomplete or undocumented systems and turn findings into working code. Ability to communicate complex low-level analysis clearly and translate it into actionable engineering work. Preferred Qualifications Master's or PhD in Computer Science, Software Engineering, or a related field, with a focus on graphics or high-performance computing. Experience analyzing or modifying graphics drivers or game engines. Familiarity with Huawei SoCs (e.g., Kirin) and their GPU stacks. Knowledge of shader IRs and languages (SPIR-V, GLSL). Experience with performance profiling and debugging on embedded devices. Professional fluency in English; Mandarin proficiency is a plus. Legally eligible to work in Ireland. #J-18808-Ljbffr
A leading global technology provider is seeking a Principal Data Researcher at their Dublin location. This role involves pioneering work in developing foundational data technologies for Autonomous AI agents aimed at zero-touch networks. Candidates should possess a PhD in AI or Computer Science, hands-on experience with data processing technologies, and strong programming skills in Python or Rust. Join an innovative team dedicated to transforming telecommunications with cutting-edge research and solutions. #J-18808-Ljbffr
Are you passionate about the intersection of cutting‑edge data science and advanced AI agent technology? Join our AI research team to revolutionize how autonomous systems access, process, and utilize knowledge to manage the future of global telecommunication networks. About Huawei Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. At Huawei, we have two key drivers of innovation: science and technology, and customer needs. Both commercial value and market demands are driving our innovation and determining how we invest in science and technology. Breakthroughs in technology, in return, stimulate customer needs and allow us to create greater value for customers. About the IRC Huawei Ireland Research Centre’s (IRC) mission is to position Huawei as a recognised technology leader and global information and communications technology (ICT) solutions provider. We are building an industry‑recognised 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 Job We are seeking an innovative Principal Data Researcher to focus on the foundational data technologies that power true Autonomous AI Agents for zero‑touch networks. Your work will be critical in enabling agents to operate intelligently and reliably in complex, dynamic network environments. While current Agentic AI leverages Large Language Models (LLMs) integrated with basic tools and Retrieval Augmented Generation (RAG) solutions, we are looking to push the boundaries of knowledge infrastructure. The agents you support will enable key autonomous scenarios: Zero‑Touch Network Self‑Healing: Autonomous observation, diagnosis, reasoning, and planning require agents to instantly access and synthesize vast amounts of network state and historical data. Self‑Optimization: Agents must observe network performance degradations, learn from past operations, and adaptively access new knowledge to implement real‑time improvements. Your research will directly address the challenges of building a robust, high‑performance knowledge base for autonomous agents. This includes pioneering work in: Developing Data Agents technologies, for example NL2SQL, multi‑modal NL2Report and similar. Developing compact vectorized data representations optimized for agent access patterns. Advancing Agentic RAG architectures for knowledge‑intensive decision‑making tasks. Implementing sophisticated memory management and adaptive data management operations to ensure agents have the right information at the right time. This role offers a unique opportunity to define the data backbone for the next generation of autonomous networks. We offer challenging, high‑impact work coupled with a solid compensation package designed to attract and reward top‑tier talent. Responsibilities Continuously learn and assess the state‑of‑the‑art of Data for AI technologies, particularly those applicable to Autonomous Networks. Interact with Huawei domain experts to gain a good understanding of challenges and gaps in the telecommunication domain, translating these into research problems. Develop solution designs for novel data management architectures and guide the team members to develop technologies for autonomous agents. Contribute to the rapid and iterative development of validated software prototypes based on AI applied to Data management technologies, and rigorously benchmark alternative solutions. Work closely with Domain experts, AI researchers, and product development teams to ensure research translates into practical, impactful solutions. Conduct technical insights, contribute to strategic planning to maintain Huawei's technological leadership, and propose innovative solutions and ideas for Autonomous Telecommunication. Requirements PhD in Artificial Intelligence or Computer Science. Strong hands‑on experience with data processing technologies, especially with Vector Databases and vector search algorithms. Strong programming skills in Python or Rust. Practical skills in the use of Big Data technologies . Problem‑solving ability and a demonstrated interest in developing new methodologies for data indexing, retrieval, and knowledge access. Domain knowledge of telecommunication networks (Telco networks) is a great plus. Publication track records in machine learning and computer science conferences and journals, including, but not limited to, ICML, ECML, NeurIPS (NIPS), AAAI, IJCAI, or IJCNN is a great plus. Benefits Competitive salary package Long‑term personal growth space Opportunities to collaborate with leading experts in software engineering, including Huawei Fellows and world‑renowned professors A multi‑cultural, international working environment Work for an international world leader, an established yet still rapidly growing Fortune 500 company Check out Life at Huawei Ireland Research Centre: https://www.youtube.com/watch?v=3gR64sYSnOA DUE TO THE HIGH VOLUME OF REPLIES, ONLY CANDIDATES WHO ARE SHORTLISTED FOR INTERVIEW WILL BE CONTACTED. Privacy Statement Please read and understand our West European Recruitment Privacy Notice before submitting your personal data to Huawei so that you fully understand how we process and manage your personal data received. #J-18808-Ljbffr
