HYAB Youth Start-up Internship Programme (YSIP) 2025

Stephanie HL Chan

AI in Action Career Day 2025

Innovation Mixer

Tech Talent Ignite

City I&T Grand challenge

Join Us in Creating Stunning Visual Effects for Tower of Saviors (神魔之塔)! We are looking for a talented developer to bring immersive visual effects to life in Tower of Saviors. If you're passionate about gaming and thrive in a creative, collaborative environment, we want to hear from you! What you will be doing:<ul><li>Collaborate with artists and game designers to create VFX matching Tower of Saviors style</li><li>Work with Artists and drive the visual look of VFX in Tower of Saviors</li><li>Partner with developers to integrate VFX seamlessly into the game</li><li>Work with Production by preparing VFX proposals for crossover projects</li></ul>What you need for this position:<ul><li>Passion for gaming and a desire to create high-quality visual effects</li><li>Ability to contribute to all stages of VFX development, from concepts to final asset</li><li>Strong teamwork skills to collaborate effectively with artists and developers</li><li>Excellent problem-solving skills and attention to detail</li></ul>Knowledge &amp; skills<ul><li>3+ years of experience in game development or related field</li><li>Proficiency in C# and experience with Unity for VFX development</li><li>Solid understanding of shader development</li><li>Strong skills in Maya or Blender for VFX creation</li><li>Bonus: Experience with rigging, animation, or 3D modeling</li></ul>Working Location &amp; Hours: Hong Kong Science Park 5-day work, 10:00 – 19:00 (Lunch hour 13:45 – 15:00) We Offer:<ul><li>5-day Work Week with Flexible Working Hours</li><li>Discretionary Performance Bonus</li><li>Medical Coverage (Annual Medical Check–up and Dental)</li><li>Overtime Meal and Transportation Subsidy</li><li>Birthday and Marriage Leave</li><li>Fun, Exciting and Creative Working Environment</li></ul>Remark<ul><li>Please apply with CV as well as portfolio (GitHub, ArtStation, personal website, etc.) for selection process</li><li>We are an equal opportunity employer and welcome applications from all qualified candidates. All information provided will be treated in strict confidence and used for recruitment purposes only</li></ul>

Programmer (VFX)

As a Large Model Algorithm Engineer, you will focus on the technical research and development of Large Language Models (LLMs) and multimodal large models, driving their application in industrial vertical domains. You will participate in core processes such as model training, optimization, and inference deployment while collaborating with top university research teams to explore cutting-edge technologies and improve model performance and efficiency.Key Responsibilities<ul><li>Responsible for training, fine-tuning (SFT), and system deployment of vertical domain large models, promoting efficient application of large models in industrial environments.</li><li>Research and implement compression and optimization techniques for large models, including pruning, quantization, and knowledge distillation, to improve inference efficiency and deployment performance.</li><li>Participate in the algorithm design and development of RAG (Retrieval-Augmented Generation) and Agent modules to enhance reasoning capabilities in dynamic and complex environments.</li><li>Research and apply multimodal understanding technologies to optimize the application of Large Vision Models (LVM) in industrial vision and other fields.</li><li>Translate business rules into efficient workflow code and participate in the design and implementation of Agentic Workflow to enhance workflow intelligence.</li><li>Build industry datasets to support large model training and applications, including data preprocessing, pretraining data construction, and training/application/evaluation dataset setup.</li><li>Research and implement large model merging techniques, exploring collaborative optimization solutions for multiple models.</li><li>Develop and maintain validation, evaluation, and performance monitoring processes for large models to ensure system stability and usability.</li><li>Participate in the development and optimization of large model application platforms (microservices) to enhance system modularity and usability.</li></ul>Qualifications<ul><li>Master’s degree or higher in Mathematics, Electrical Engineering, Computer Science, Data Science, or a related field is preferred.</li><li>Proficient in machine learning, deep learning, and Transformer architecture, with hands-on experience in end-to-end training and development of large models.</li><li>Familiar with large model compression and optimization methods such as pruning, quantization, and knowledge distillation.</li><li>Strong capabilities in large-scale data processing and familiarity with big data tools (e.g., Hadoop, Spark), with experience in data preprocessing, cleaning, and building training datasets.</li><li>Skilled in Python, C/C++, and Linux programming, with a solid foundation in algorithms and data structures.</li><li>Familiar with mainstream large model training and inference frameworks such as PyTorch, Hugging Face (HF), DeepSpeed, PEFT, vLLM, TRL, etc.</li><li>Knowledge of Triton or other high-performance inference tools, with experience in applying model optimization to real-world deployments.</li><li>Proficient in Docker and Linux shell scripting; experience with FastAPI development is a plus.</li><li>Experience in enterprise-level large model development, optimization, deployment, and tool development is preferred.</li><li>Strong teamwork and communication skills, capable of collaborating with cross-domain teams.</li><li>Passionate about cutting-edge large model technologies and their applications in industrial vertical domains.</li></ul>Bonus Points<ul><li>Experience in RAG systems and Agent module development and optimization.</li><li>Familiarity with CUDA programming, distributed computing, or related high-performance computing technologies.</li><li>Publications in top-tier conferences (e.g., NeurIPS, ICLR, CVPR).</li><li>Knowledge of hardware acceleration technologies (e.g., GPU, TPU) and their applications in model optimization.</li></ul>

LLM Engineer (Data and Optimization)

Job Responsibilities - Conduct data analysis, feature engineering, and feature extraction for data within the financial industry - Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis - Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing - Collaborate with cross-functional teams to identify and address customer needs and aspirations - Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processesJob Requirements- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields - Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control - Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL - Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series - Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification - Knowledge in LLM is a plus - A passion for coding, programming, innovation, and problem-solving - A keen interest in anti-money laundering practices and regulatory compliance - Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

Machine Learning Engineer

Job Overview:We are seeking an experienced and visionary Chief Technology Director to lead our technology strategy and oversee the development and implementation of innovative solutions that drive our business forward. The ideal candidate will have a strong background in Electronic Engineering and Renewable Energy Technology Management, and a passion for leveraging technology to create competitive advantages. Key Responsibilities:<ul><li>Strategic Leadership:<ul><li>Develop and execute the technology vision and strategy in alignment with the company’s business goals.</li><li>Identify emerging technologies and assess their potential impact on the organization.</li></ul></li><li>Team Management:<ul><li>Build, lead, and mentor a high-performing technology team.</li><li>Foster a culture of innovation, collaboration, and continuous improvement.</li></ul></li><li>Project Oversight:<ul><li>Oversee the planning, development, and implementation of technology projects.</li><li>Ensure projects are completed on time, within budget, and meet quality standards.</li></ul></li><li>Stakeholder Collaboration:<ul><li>Collaborate with other departments to identify technology needs and provide solutions.</li><li>Communicate technology initiatives and progress to executive leadership and stakeholders.</li></ul></li><li>Budget Management:<ul><li>Develop and manage the technology budget, ensuring optimal allocation of resources.</li><li>Evaluate and negotiate contracts with technology vendors and service providers.</li></ul></li><li>Risk Management:<ul><li>Identify potential risks related to technology and develop mitigation strategies.</li><li>Ensure compliance with relevant regulations and standards.</li></ul></li></ul>Qualifications:<ul><li>Master’s degree in Electronic Engineering, Systems Engineering, Physic or a related field; Doctor’s degree would be much perferable.</li><li>Proven experience (8+ years) in a technology leadership role, preferably as a CTO or equivalent.</li><li>Strong understanding of current and emerging technologies, software development practices, and renewable energy infrastructure.</li><li>Excellent leadership, communication, and interpersonal skills.</li><li>Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.</li><li>Experience with budget management and vendor negotiations.</li></ul>

Technology Director

The individual hired will perform MCU programming and hardware development for wireless and IoT products and solutions. Basic knowledge in C, C++ programming, Python MCU software development and App development. Electronic hardware design is required with knowledge in wifi, bluetooth, TCP/IP communication and machine-learning technologies preferred.

Firmware engineer trainee

崗位職責<ol><li>負責AI+IoT技術在智慧樓宇與能源領域的應用，設計智能化解決方案。</li><li>結合大模型AI與物聯網技術，優化能源管理、設備運維及用戶體驗。</li><li>主導項目全流程，包括需求分析、方案設計、技術實施與落地。</li><li>跟踪AI、IoT與能源領域技術趨勢，推動創新與產品優化。</li></ol>任職要求<ol><li>本科及以上學歷，計算機科學、人工智能、物聯網、能源工程等相關專業。</li><li>10年以上AI、IoT或智慧能源相關經驗，有項目管理經驗者優先。</li><li>具備數據分析能力，能通過數據驅動優化能源管理與運維效率。</li><li>創新能力強，溝通協作能力佳，能獨立解決複雜問題。</li><li>可接受長期出差。</li></ol>

智慧生活行业专家-智慧能源

Main Duties:<ol><li>Implement silicon photonic integration (Photodetector, modulator, optical waveguide, variable optical attenuator, etc.) design and engineering process research, design and optimization of silicon photonic chips; </li><li>Structural design and layout drawing of integrated optical chip; </li><li>Integrated optical chip control algorithm design and circuit verification; </li><li>Develop optical chip test plan, process and analyze test data; </li><li>Assist in promoting project-related engineering tasks, such as chip reliability verification, yield improvement, etc.</li></ol>Qualification:<ol><li>Degree or above, with good theoretical foundation in semiconductor science, computer science, electronic, microelectronics, electronic information engineering, mechanical engineering or related majors; </li><li>Have more than 3 years of experience in integrated circuit design, analog circuit work or control algorithm design; </li><li>Have an excellent theoretical foundation of signal processing and optical communication; </li><li>Familiar with the working principles of silicon photonic active/passive devices, commonly used optical/optoelectronic simulation software; </li><li> Experience in silicon photonic chip tape-out and silicon photonic chip testing and analysis experience or experience in photoelectric control algorithm design, simulation and verification.</li></ol>

R&D Engineer

Job Responsibilities:<ol><li> Responsible for cutting-edge scientific research and technological development in the field of electromagnetic waves, including but not limited to electromagnetic field theory, electromagnetic wave propagation, etc. Developing three-dimensional electromagnetic wave solvers for extracting electrical parameters in Very Large Scale Integration (VLSI) circuits.</li><li> Lead large-scale research projects related to electromagnetic waves: </li></ol>1) seek methods suitable for different accuracy/performance requirements;2) establish project plans, assign tasks, supervising progress, and ensure projects are delivered on time and with quality. 3. Apply research findings into practical applications, solving complex technical problems related to semiconductor device physics/impedance/netlist, and provide implementation plans.Job Requirements:<ol><li> Ph.D. in electronic engineering, applied physics/mathematics, or related fields with a background in numerical simulation. Fields include:</li><li> Electronic Engineering (circuit simulation, system/control theory, semiconductor device simulation);</li><li> Computational Electromagnetics (finite element method, boundary element method, moment method, or related fields);</li><li> Computational Physics (Monte Carlo Method).</li><li> Extensive research experience in the field of electromagnetic waves, with over 10 years of experience in the EDA industry and significant scientific achievements, including but not limited to publishing high-level academic papers and obtaining patents.</li><li> Profound understanding of the basic principles and computational methods of electromagnetic waves, capable of independently designing and developing electromagnetic wave systems.</li><li> Excellent English listening, speaking, reading, and writing skills; able to read and write scientific research papers and presents in English; have a keen insight into the cutting-edge technologies and development trends in the field of electromagnetic waves.</li></ol>

Senior Electromagnetic Waves Researcher

Research Directions:<ul><li>Locomotion Skill Learning: Deep reinforcement learning-based locomotion skills for stable and adaptive movement across various terrains (e.g., stairs, slopes). </li><li>3D Path Planning: Spatial-aware path planning with different task constraints (e.g., loading weight, energy consumption, waterproof) for legged robots to navigate in unstructured environments.</li><li>Vision-Language Navigation: Vision-language navigation algorithms for robustly cooperation with humans while automatically avoiding the collision and crossing different terrains in the rescue task.</li><li>LLM-driven task and skill planning: Using large language models (LLM) to reason on and decompose the extreme and long-tail cases, and intelligently plan the learned skills to address them in the inspection and rescue tasks.</li></ul>Requirements<ul><li>Education: PhD, Master's, or Bachelor's degree in Robotics, Mechanical Engineering, Computer Science, or related fields.</li><li>Publications: At least one first-author paper in ICRA, IROS, IEEE RAL, or equivalent venues.</li><li>Hands-on experience in:</li><ul><li>Legged robot platform (ANYmal, Unitree, Deep Robotics, etc.)</li><li>SLAM, geometric and semantic perception</li><li>Deep RL algorithms (SAC, PPO) and simulation (Nvidia Isaac Gym)</li><li>Proficiency in C++, Python, ROS and PyTorch</li></ul><li>Personal Attributes:</li><ul><li>Strong problem-solving skills and the ability to work independently and in a team.</li><li>Excellent communication skills, both written and verbal.</li><li>Passion for innovation and a commitment to pushing the boundaries of robotic technology.</li></ul></ul>What We Offer<ul><li>Competitive Salary: Attractive compensation package commensurate with experience and qualifications.</li><li>Research Opportunities: Support for publishing in top-tier robotic conferences and journals.</li><li>Collaborative Opportunities: Opportunity to work with an innovative team from The University of Hong Kong (HKU) and City University of Hong Kong (CityU). </li><li>State-of-the-Art Facilities: Access to advanced research and testing facilities at Hong Kong Science Park.</li></ul>

Robotics Research and Development (R&D) Engineer

13-month pay

5-day week

Additional subsidies

Alternate saturday

Childcare

Competitive pay

Dental plan

Discretionary bonus

Education subsidies

Flexible working hours

General holidays

Gratuity

Guaranteed bonus

Home office

Housing allowance

Insurance plan

Maternity leave

Meal allowance

Medical plan

Paid overtime

Paternity leave

Performance bonus

PRC holidays

Relocation Expenses

Shuttle bus

Social & recreation facility

Special / extra leave

Staff care centre

Statutory holidays

Stock option

Transportation allowance

Travel allowance

Year-end bonus

Queenie OT Tsang

Below F.5

F.5 - F.7 or DSE

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Where Talent Meets Opportunity