HYAB Youth Start-up Internship Programme (YSIP)

Summer Internship 2026 Open for Application

HKSTP Global Internship 2026

Talent Foundry

Innovation Mixer

主要职责 Key Responsibilities账务处理与报告 Financial Reporting<ul><li>负责香港主体及集团合并的日常全盘会计操作，包括凭证录入、账务处理、往来款项核对、费用审核及月度结账。 Manage the full spectrum of accounting operations for the Hong Kong entity and group consolidation, including journal entries, accounts reconciliation, expense review, and month-end closing.</li><li>独立编制月度、季度及年度财务报表（利润表、资产负债表、现金流量表）及管理分析报告。 Independently prepare monthly, quarterly, and annual financial statements (P&amp;L, Balance Sheet, Cash Flow) and management reports. </li><li>执行财务数据分析，提供关于盈利能力、成本结构及现金流的关键洞察，支持预算管理与经营决策。 Perform financial data analysis to provide key insights on profitability, cost structure, and cash flow, supporting budgeting and operational decision-making. </li></ul>系统与流程管理 System &amp; Process Management<ul><li>熟练操作公司核心财务/业务系统，确保数据准确录入，并参与优化相关财务模块流程。 Proficiently operate the company's core financial/operational system, ensuring accurate data entry and contributing to the optimization of related finance modules. </li><li>建立和完善内部财务控制流程，提升工作效率与数据质量。 Establish and refine internal financial control procedures to enhance efficiency and data quality. </li></ul>合规与协作 Compliance &amp; Collaboration<ul><li>协助完成香港公司及集团层面的税务申报、年度审计协调及相关合规工作。 Assist with tax filings, annual audit coordination, and related compliance work for each entity. </li><li>作为总部财务经理，与子公司的财务团队进行对接，审核其工作成果，确保本地合规要求得到满足并及时向总部汇总财务数据。 Work with accounting team from subsidiaries companies, ensuring local compliance, and consolidating financial data for group reporting. </li><li>支持业务部门的财务数据需求，协助完成跨部门项目。 Support ad-hoc financial data requests from business units and contribute to cross-departmental projects. </li></ul> 任职要求Qualifications<ul><li>本科及以上学历，会计、财务或相关专业。 Bachelor's degree or higher in Accounting, Finance, or a related field. </li><li>至少3年以上全盘会计或财务分析经验，有跨境业务或多实体核算经验者优先。 Minimum of 3 years of experience in full-cycle accounting or financial analysis. Experience with cross-border operations or multi-entity consolidation is preferred. </li><li>熟悉国际财务报告准则（IFRS）。 Proficient in International Financial Reporting Standards (IFRS). </li><li>具备财务系统实操经验，熟悉Odoo系统者将获优先考虑。 Hands-on experience with financial systems is required. Prior experience with Odoo is preferred. </li><li>出色的中英文书面及口语沟通能力（工作语言为中英双语）。 Excellent written and verbal communication skills in both English and Chinese (Mandarin). </li><li>严谨细致，具备强大的数据分析能力、主动性和独立解决问题的能力。 Meticulous, detail-oriented, with strong analytical skills, initiative, and the ability to solve problems independently. </li></ul>

财务经理 Finance Manager

Job Responsibilities:<ol><li> Primarily responsible for the hardware development of new projects, tracking the entire hardware-related process from requirement implementation to mass production.</li><li> Based on specific project requirements, complete the formulation of feasibility technical solutions, interface design, and the writing and archiving of related technical documents.</li><li> Based on established technical solutions, conduct core component selection, schematic design, and PCB layout, ensuring design compliance and rationality.</li><li> Able to independently complete PCB board debugging, hardware fault location and analysis, and cooperate in completing interface program integration work.</li><li> Maintain efficient communication with structural engineers, software engineers, and other relevant personnel to collaboratively advance project progress.</li></ol>Job Requirements:<ol><li> Major in electronics, communications, automation, electrical engineering, or related fields.</li><li> Ability to read module manuals and independently complete hardware solution design and core component selection.</li><li> Proficient in schematic drawing (e.g., Altium, Cadence) and PCB layout skills, and familiar with EMC/EMI design specifications. </li><li> Familiar with digital and analog electronic circuit principles, proficient in using multimeters, oscilloscopes, and other testing instruments, and possess solid soldering skills and hardware debugging capabilities.</li><li> The position requires communication with factories in Mainland China, and Mandarin proficiency is a plus.</li></ol> 工作职责:<ol><li>主要负责新项目的硬件开发工作，跟进从需求落地到产品量产的全流程硬件相关环节。</li><li>根据项目具体需求，完成可行性技术方案制定、接口设计及相关技术文档的编写与归档。 3. 依据既定技术方案，开展核心器件选型、原理图设计及 PCB 绘制工作，确保设计合规性与合理性。</li><li>能够独立完成 PCB 板调试、硬件故障定位与分析，并配合完成接口程序对接相关工作。</li><li>与结构工程师、软件工程师等部门相关人员保持高效沟通，协同推进项目进度。</li></ol>岗位要求:<ol><li>电子、通信、自动化、电气等相关专业</li><li>具备模块手册阅读能力，能独立完成硬件方案设计与核心器件选型。</li><li>熟练掌握原理图绘制(如 Altium、Cadence 等工具)和 PCB Layout 技能，了解 EMC/EMI 设计规范。</li><li>熟悉数字、模拟电子电路原理，能熟练使用万用表、示波器等测试仪器，具备扎实的焊接功底和硬件调试能力。</li><li>工作涉及与内地工厂对接，普通话良好为加分项。</li></ol>

Intern Embedded Hardware Engineer

Join Our Mission for a Greener Future – Summer Internship OpportunityWe are a Hong Kong-based start-up committed to transforming the future of energy through innovation and sustainability. Specializing in pioneering technologies such as Thin-Film CdTe Solar Glass, energy storage systems, and EV supercharging solutions, we are driven by a diverse team united by a shared belief in the power of green technology to build a more sustainable world.We invite enthusiastic students to be part of team as an intern. Under the mentorship of seasoned professionals, interns will engage in cutting-edge research, data analysis, prototype testing, and collaborative projects, gaining invaluable hands-on experience in a fast-paced start-up environment. As a member of our dynamic team, you will contribute to groundbreaking solutions that drive sustainable change while developing key skills for your future career. Key Responsibilities:<ul><li aria-level="1">Support Research and Development:</li><ul><li aria-level="2">Assist in experiments and analysis of materials to optimize energy storage and renewable energy prototypes, including Thin-Film CdTe Solar Glass, under the close supervision of seasoned professionals.</li></ul><li aria-level="1">Contribute to Data Analysis:</li><ul><li aria-level="2">Work with specialized tools like AutoCAD and simulation software to support the team in analyzing experimental results and refining system designs.</li></ul><li aria-level="1">Aid in Testing and Optimization:</li><ul><li aria-level="2">Help test prototypes and assess performance, collaborating with experienced team members to troubleshoot and implement refinements.</li></ul><li aria-level="1">Collaborate and Learn:</li><ul><li aria-level="2">Document findings and actively participate in team discussions, gaining insights and contributing to the development of innovative green technologies.</li></ul></ul>Requirements <ul><li>Must be aged between 18 and 30 (i.e. a person having reached the age of 18 and before reaching the age of 31, at the time of the application submission), and be legally permitted to work in Hong Kong </li><li>Must be a Hong Kong Permanent Identity Card holder who is a student currently enrolled in full-time post-secondary programme; or Hong Kong Identity Card holder who is a student currently enrolled in full-time post-secondary programme in Hong Kong. </li><li>Must not be receiving other employment subsidies provided by the Government of the HKSAR and/ or other local public and private funding programme(s) under the same employment period. </li><li>interns admitted under the Scheme must have a strong commitment to the Hong Kong community and be a registered member of the “HKYouth+” mobile application.</li><li aria-level="2">Preference given to programs related to Chemistry, Mechanical Engineering, Material Science, Green Technology, or similar fields.</li><li aria-level="2">Preferred strong communication skills in both Cantonese and English to collaborate effectively within our diverse team.</li><li aria-level="2">Proficiency in data analysis, simulation tools, AutoCAD, and Microsoft Office.</li></ul>Why Join Us:<ul><li aria-level="1">Be part of a start-up that is driving innovation at the heart of Hong Kong Science Park.</li><li aria-level="1">Work alongside a passionate and diverse team committed to making a difference.</li><li aria-level="1">Gain hands-on experience in cutting-edge green technologies.</li><li aria-level="1">Potential opportunities to pursue a career in renewable energy upon graduation.</li></ul>

Intern - R&D

As a Marketing Intern at TAU, you will have a multifaceted role that involves creating compelling sales materials and managing our social media presence. You will work closely with our sales and business development team to implement marketing strategies that drive brand awareness, engage our target audience, and support our sales efforts.Sales Material<ul><li>Create and design sales materials, brochures, presentations, and other marketing collateral to effectively communicate our products or services</li><li>Ensure all materials are on-brand, visually appealing, and convey our unique value position</li><li>Collaborate with cross-functional teams to gather necessary information and insights for content creation</li></ul>Social Media Management<ul><li>Assist in creating engaging and informative content for various marketing channels, including blog posts, articles, email newsletters, and press releases</li><li>Manage and execute social media strategies to grow our online presence and engage with our target audience on platforms such as Twitter and LinkedIn</li><li>Create and schedule engaging content, including posts, images, and videos</li><li>Respond to comments, messages, and inquiries in a timely and professional manner</li></ul>

Marketing Intern

Job Responsibilitie<ul><li data-zone-id="0" data-line-index="1" data-line="true">Conduct comprehensive research on large model technology and its industry applications, covering natural language processing, human-computer dialogue, and other fields, analyze practical cases in education, healthcare, finance, and other industries, and deeply understand the application effects and feasibility of large models across various industries.</li><li data-zone-id="0" data-line-index="2" data-line="true">Design and implement unified large model access and deployment solutions, select large models suitable for each target application field, optimize model call efficiency and response time, ensuring fast and convenient access and efficient deployment.</li><li data-zone-id="0" data-line-index="3" data-line="true">Formulate and optimize workflows and technical solutions, covering data processing, model invocation, and result output, enhance system stability and maintainability, solve technical challenges in engineering implementation, and reduce deployment and maintenance costs.</li><li data-zone-id="0" data-line-index="4" data-line="true">Continuously optimize and upgrade large model application systems, monitor system operation and user experience according to business needs and technological developments, collect feedback, and perform system performance optimization and feature upgrades to ensure the long-term efficient operation of large model applications.</li></ul>Requirements<ol><li data-zone-id="0" data-line-index="7" data-line="true">Bachelor's degree or above in Computer Science, Mathematics, or related fields； at least 5 years of relevant work experience for bachelor's degree holders.</li><li data-zone-id="0" data-line-index="8" data-line="true">Familiar with industry-leading technologies and algorithm models including computer vision, GANs, image processing, and OCR; understand the principles of algorithms and models, and have certain practical application and optimization experience.</li><li data-zone-id="0" data-line-index="9" data-line="true">Familiar with the application of Large Language Models （LLMs） in various tasks of natural language processing/multimodal processing.</li><li data-zone-id="0" data-line-index="10" data-line="true">Solid programming skills and corresponding engineering capabilities； proficient in using Python as the primary working language, and familiar with frameworks and tools such as OpenCV, Keras, TensorFlow, and PyTorch. 5. Innovative spirit, willing to delve into innovative algorithm applications and product innovation</li></ol>

Al Engineer

岗位职责：1 、根据需求完成视觉检测、目标定位和测量、模式分析处理等功能开发；2、 参与算法模型的设计、编码封装、模型训练、测试维护工作；3、负责算法模型的优化，提高模型的运行效率和推理速度；4、配合后端开发人员进行算法集成和移植。任职资格：1、硕士及以上学历，计算机软件，电子信息或数学等相关专业；熟悉数字图像处理、图形学、计算机视觉相关算法和工具；有扎实数学和编程功底；2、了解深度学习等相关算法至少熟练使用一种深度学习框架如pytorch、tensorflow、MXnet等；熟悉YOLO、CNN算法架构；熟悉OpenCV/PLC等视觉开源库；3、熟练使用Python和C/C++语言，优秀的编码与代码控制能力；4、熟悉Linux开发环境，良好的系统编程、数据结构、算法基础、系统设计能力;5、具备较强的团队合作和沟通能力，能够与团队成员、业务部门紧密协作，完成项目交付和技术创新。

算法工程师

About the Role We are looking for a motivated AI / Machine Learning Engineering Intern to join our R&amp;D team.You will work closely with engineers on real-world AI systems, including model development, evaluation, visualization, and deployment optimization. This role is hands-on and engineering-focused, suitable for Year 2–3 undergraduate students who already have basic programming experience and want to deepen their skills in applied AI. What You Will DoAssist in developing and testing deep learning models (CV or LLM-related tasks)Implement and experiment with models using Python and PyTorchVisualize model outputs (e.g. feature maps, attention, heatmaps, inference results)Help optimize inference performance using tools such as:ONNXTensorRTCUDA (optional / exposure level)Participate in debugging, benchmarking, and improving model accuracy and speedWork with senior engineers to understand real deployment constraintsWhat We’re Looking For Must HaveCurrently Year 2–3 undergraduate student in: Computer Science Electronic Engineering AI / Data Science or related STEM fieldComfortable with Python Basic experience with PyTorch Familiarity with at least one area: Computer Vision (e.g. CNNs, detection, tracking) Large Language Models (basic understanding is enough)Nice to Have (Not Required)Experience with: CUDA / TensorRT / ONNX C++ (for model inference or performance) Model profiling or visualizationUnderstanding of model acceleration or deployment concepts Experience running models on GPU / edge devicesWhat You’ll GainHands-on experience with real production-oriented AI systems Exposure to model optimization and deployment, not just training Mentorship from experienced AI engineers Opportunity to grow into a long-term role (for strong performers)Who This Role Is NOT ForThis role is not pure academic research No requirement to publish papers No expectation to lead projects independently We value learning ability, curiosity, and solid fundamentals over buzzwords. Candidates are encouraged to include GitHub, school projects, or any personal AI experiments.

AI / Machine Learning Engineering Intern

Duties • Candidate will be part of core design team carrying the task to deliver the next generationsuper high-speed data IC for home networking, • Candidate is responsible for SoC integration and verification. • Travel may be required if necessary. Requirements • Bachelor degree or above in Electronic Engineering. • Good understanding of SoC, architectures, methodologies and related tools. • Good understanding of microprocessors, and computer system architecture. • Good understanding of IPs, integration and verification. • Good programming in Perl, TCL and Shell programming. • Familiar with Ethernet, USB, MCU (ARM core), I2C, MDIO, usage and protocols. • Team spirit and strong communication skills. • Enjoy challenging work and a Self-motivated good team player. • Candidate with more solid experiences will be considered for a senior position

Junior/ Senior ASIC Design Engineer

About the RoleWe are seeking an experienced AI Researcher/ Engineer (LLM) to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM APIs and self-hosted open-source models, implementing RAG pipelines, and creating end-to-end LLM workflows. The ideal candidate combines practical experience integrating LLM APIs with technical expertise in deploying and optimizing local models.Key Responsibilities<ul><li>Design and implement high-throughput, low-latency serving architectures for LLM applications</li><li>Build and maintain RAG pipelines and end-to-end LLM workflows</li><li>Integrate and optimize commercial LLM APIs (OpenAI, Anthropic, Google, etc.) into production systems</li><li>Develop prompt engineering techniques and prompt management systems</li><li>Deploy and serve local open-source language models for specific use cases</li><li>Optimize local model inference performance through efficient serving frameworks</li><li>Fine-tune models to improve performance on domain-specific tasks (commercial or </li><li>Monitor and troubleshoot production LLM systems to ensure reliability</li><li>Research and experiment with emerging models and techniques to improve system capabilities</li><li>Document architectures, best practices, and technical decisions</li><li>Collaborate with engineering teams to integrate LLM capabilities into products</li><li>Communicate technical terms and recommendations to stakeholders</li><li>Build evaluation frameworks to measure model quality, latency, cost, and user satisfaction</li><li>Design intelligent routing and fallback strategies across multiple LLM providers</li><li>Scale LLM services to handle production workloads efficiently</li><li>Implement caching, batching, and request optimization strategies for both APIs and local models</li></ul>Required QualificationsExperience:<ul><li>2+ years of software engineering experience with 2+ years focused on LLM applications</li><li>Proven track record of building production LLM applications</li><li>Experience integrating and optimizing commercial LLM APIs</li><li>Hands-on experience deploying local models in production environments</li></ul>Technical Skills:<ul><li>Strong Python programming with emphasis on async/await patterns and production-quality code</li><li>Deep understanding of transformer architectures and LLM fundamentals</li><li>Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini, or similar)</li><li>Familiarity with local open-source models (Qwen, Llama, Mistral, or similar)</li><li>Experience with RAG implementation using LlamaIndex or similar frameworks</li><li>Proficiency with FastAPI for building high-performance APIs</li><li>Experience with vector databases (Pinecone, Weaviate, Chroma, Milvus, or similar)</li><li>Working knowledge of MongoDB or other NoSQL databases</li><li>Experience with Docker containerization and deployment</li><li>Good to have hands-on fine-tuning experience (LoRA, QLoRA, full fine-tuning)</li><li>Familiarity with local model serving frameworks (vLLM, TGI, or similar)</li><li>Familiarity with Hugging Face ecosystem and transformer libraries</li><li>Experience with cloud platforms (AWS, GCP, or Azure)</li><li>Proficiency with Git/GitHub and version control workflows</li></ul>Domain Knowledge:<ul><li>Understanding of prompt engineering and optimization techniques</li><li>Knowledge of LLM evaluation metrics and benchmarking methodologies</li><li>Experience with cost optimization for LLM applications</li><li>Familiarity with distributed computing and scaling strategies</li><li>Understanding of LLM inference optimization (quantization, batching, caching)</li></ul>Preferred Qualifications<ul><li>Understanding of digital human technologies and multimodal applications</li><li>Knowledge of MLOps practices and CI/CD for ML systems</li><li>Experience with Kubernetes for container orchestration</li><li>Experience with streaming inference and real-time applications</li><li>Background in function calling and tool use with LLMs</li><li>Familiarity with RLHF (Reinforcement Learning from Human Feedback)</li><li>Experience with model distillation and knowledge compression</li><li>Understanding of distributed training and GPU optimization</li><li>Experience with multi-agent systems and LLM orchestration</li></ul>Soft Skills &amp; Communication<ul><li>Excellent English communication skills (written and verbal)</li><li>Ability to explain complex technical concepts to both technical and non-technical audiences</li><li>Strong problem-solving and analytical thinking capabilities</li><li>Self-motivated with ability to work independently and drive projects to completion</li><li>Collaborative team player who thrives in fast-paced environments</li><li>Passion for staying current with rapidly evolving LLM technologies</li><li>Ability to balance research experimentation with production reliability requirements</li></ul>

Where Talent Meets Opportunity