HKSTP announces the launch of the Student Internship Programme (SIP) 2026, which has been open for applications since mid-May 2026.-SIP 2026 is designed to equip students with essential skillsets, industry exposure, and professional networks, supporting their transition into the innovation and technology (I&amp;T) sector upon graduation. The programme also enables companies to engage early with emerging talent and contribute to workforce development.-Eligible HKSTP partner companies can receive funding support to employ qualified student interns, providing students with meaningful, hands-on experience in real-world business environments.-*Please note that funding support is allocated on a&nbsp;first-come, first-served basis.-For further details, please feel free to contact TecONE at 2629 2383 or sip@hkstp.org.

HKSTP Student Internship Programme 2026

Blooming with AI: HKSTP Summer Talent Fest 2026 cum Kick-off Ceremony for "AI for All" Inclusive Programme-Event Details:&nbsp;Date: 14 July 2026 (Tuesday) Time: 10:00 AM &ndash; 1:30 PM&nbsp; (Register at 10:00 AM) Venue: 1/F -2/F, Building 10W, Hong Kong Science Park, Shatin (The Golden Egg)-Event Rundown:&nbsp;10:00 AI+ Tech Showcase (Try the Tech Live - Experience groundbreaking AI straight from HKSTP park companies)11:00 Welcome Remarks &amp; Keynote Address | "AI for All" Inclusive Programme Kick-off11:30 The AI Leadership Forum (Real Strategies - Learn from industry leaders to navigate the dynamic I&amp;T landscape)12:00 Meet &amp; Spark (Unlock Your Next Milestones - Connect with founders and talents in a relaxing setting to land your next gig)-SIGN UP NOWIndustry Leaders, Founders, and Innovators Registration Link: <a href="https://2vx.io/Xci40uc" target="_blank" rel="noopener">https://2vx.io/Xci40uc</a>Students, Interns and Professionals Registration Link: <a href="https://2vx.io/DeGV7ct">https://2vx.io/DeGV7ct</a>

Blooming with AI: HKSTP Summer Talent Fest 2026

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

Responsibilities:<ul><li aria-level="1">Identify and adopt up-to-date technology, included but not limited to AI, develop well architecture solution for IoT products</li><li aria-level="1">Design and develop new software features and functionalities</li><li aria-level="1">Troubleshoot, debug, and optimize software systems</li><li aria-level="1">Develop and enhance data dashboard</li><li aria-level="1">Collaborate closely with back-end developers to integrate user interface with server-side logic</li><li aria-level="1">Assist in database design, optimisation and maintenance</li><li aria-level="1">Document software specifications and technical requirements</li><li aria-level="1">Obtain data from web pages using Python packages</li><li aria-level="1">Develop optimization algorithms and forecasting models to enhance system performance</li><li>Troubleshoot, debug, and optimize implemented models to ensure accuracy and efficiency Filter out invalid data from various data sources to maintain data integrity</li></ul> Requirements:<ul><li aria-level="1">Major in Computer Science or a related technical discipline</li><li aria-level="1">Hands-on experience in software development using Python, HTML, and JavaScript</li><li aria-level="1">Familiar with either one or more of the following technology: vue.js, node.js will be an advantage</li><li aria-level="1">Ability to write clean, efficient, and maintainable code</li></ul>

Software Engineer

Job DescriptionWe are seeking a Wb Developer to revamp of our website and the development of modern web apps, transitioning to a modern stack using Node.js, Next.js, React, and Tailwind CSS. The role involves integrating content via APIs, ensuring a seamless, high-performance user experience, and embracing modern "vibe coding" (AI-assisted) workflows.Responsibilities<ul><li>Develop and maintain the new web apps using Node.js, Next.js, React, and Tailwind CSS</li><li>Integrate content from APIs to ensure dynamic and efficient content delivery across all platforms</li><li>Leverage AI-assisted coding tools ("vibe coding") to accelerate development and problem-solving</li><li>Collaborate with the design and content teams to implement responsive and user-friendly interfaces</li><li>Optimize website and web app performance, scalability, and security</li><li>Participate in code reviews, testing, and deployment processes</li><li>Stay updated with the latest web/app development trends and AI technologies</li></ul>Requirements<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field</li><li>1+ years of experience in full stack web and web app development</li><li>Proficiency in Node.js, Next.js, React, and Tailwind CSS</li><li>Experience with AI-assisted development tools (e.g., Cursor, GitHub Copilot) and a strong grasp of "vibe coding" methodologies</li><li>Experience with API integration, particularly CMS APIs (e.g., WordPress, Strapi, or similar)</li><li>Strong understanding of JavaScript, TypeScript, and modern front-end development practices</li><li>Familiarity with version control systems (e.g., Git) and CI/CD pipelines</li><li>Knowledge of web performance optimization and SEO best practices</li><li>Excellent problem-solving skills and attention to detail</li></ul>

Web Developer

Job Responsibilities:<ol><li> Responsible for the system dynamics modeling of AI smart tower cranes, analyzing their actuation, friction, payload, and external disturbance characteristics, and developing simplified models for control and motion planning algorithm design.</li><li> Build and maintain high-fidelity robotics simulation environments (Gazebo/Unity/Simulink) to enable full-chain testing of controllers and planners.</li><li> Lead the development, validation, and maintenance of control and motion planning algorithms for smart tower cranes, including but not limited to Model Predictive Control (MPC), robust control, adaptive control, and Reinforcement Learning (RL) based intelligent controllers.</li><li> Migrate and deploy simulation-verified algorithms into the product ROS (1/2) C++ software framework, ensuring real-time performance, reliability, and integration with hardware systems.</li><li> Manage Docker image creation, environment containerization, and deployment for algorithm modules, ensuring consistency between R&amp;D and delivery environments, and maintain code/experiment reproducibility via CI/CD pipelines.</li><li> Author and maintain technical documentation, including model assumptions, interface definitions, test reports, and algorithm white papers, providing theoretical support and engineering guidance to the team.</li></ol>Qualifications:<ol><li> Must hold a Master or Ph.D. degree in Robotics, Automation, Mechatronics, or a closely related field.</li><li> Possess a solid foundation in dynamics modeling and modern control theory, with the ability to independently conduct model simplification, analysis, and controller design for complex systems.</li><li> Proficient in using Python/Matlab-Simulink for dynamics modeling, control algorithm prototyping, and simulation analysis.</li><li> Have hands-on experience in building, model integration, and closed-loop simulation testing within robotics simulation environments (e.g., Gazebo, Unity).</li><li> Proficient in C++ development within the ROS framework on Linux, capable of efficiently and stably implementing algorithms as integrable ROS nodes.</li><li> Familiar with the routine development and deployment workflow using Docker, and able to manage dependencies and environments using containerization technology.</li><li> Possess excellent analytical, problem-solving, teamwork, and communication skills.</li><li> Experience in deploying and debugging robotic systems in real construction sites, outdoor, or highly perturbed environments.</li><li> Familiar with industrial communication protocols such as Modbus and CAN, with experience in software-hardware integration and debugging.</li><li> Proficient in Cantonese, Mandarin, and English, with strong communication skills.</li></ol>

Robotics Algorithm Engineer

一、岗位职责​ 1、项目挖掘与拓展：积极关注宏观经济形势、行业发展动态及政策导向，深入挖掘符合公司战略发展方向的投资项目； 2、投资分析与评估：对潜在投资项目进行全面、深入的尽职调查，涵盖财务状况、经营模式、市场竞争力、核心团队、法律风险等方面； 3、投资方案制定与执行：根据项目评估结果，结合公司战略及资金状况，制定切实可行的投资方案；​ 4、投后管理与增值：对已投资项目进行持续跟踪和管理，定期收集项目运营数据、财务报表等信息，评估项目的经营状况和发展潜力。协助被投企业解决经营过程中遇到的问题，整合公司内外资源，为其提供战略规划、市场拓展、融资支持等方面的增值服务，促进项目保值增值，实现与公司的协同发展。​ 5、投资退出规划与实施：根据投资协议及项目发展情况，制定合理的投资退出策略，包括 IPO、并购重组、股权转让等方式。​ 6、团队协作与汇报：与公司内部的财务、法务、战略等部门保持密切协作，确保投资项目在各个环节的顺利推进。定期向公司管理层汇报投资项目的进展情况、风险状况及后续计划，为管理层的决策提供及时、准确的信息支持。​ 二、任职要求​ 1、学历与专业：全日制本科及以上学历，金融、投资、经济、财务管理等相关专业优先。具备 CFA、CPA、FRM 等专业资格证书者优先考虑； 2、工作经验：具有 3 年以上上市公司、知名投资机构、券商投行等相关领域的投资工作经验，熟悉股权投资、并购重组等业务流程，有成功的投资案例者优先。 3、专业能力：具备扎实的财务分析、估值建模、风险评估等专业知识和技能，能够独立完成项目尽职调查和投资分析报告的撰写。具有敏锐的市场洞察力和较强的项目挖掘能力，能够准确把握行业发展趋势和投资机会。​ 4、综合素质：具有优秀的沟通协调能力、谈判能力和团队协作精神，能够与项目方、公司内部各部门及外部合作机构进行高效沟通和协作。具备较强的逻辑思维能力、判断决策能力和抗压能力，能够在复杂的市场环境和高强度的工作压力下完成工作任务。​ 5、其他要求：遵守国家法律法规和公司规章制度，品行端正，诚实守信，无不良从业记录。能够适应出差需求。

投资总监

Key Responsibilities<ul><li>Handle PCB design and layout for hardware products</li><li>Design multi-layer and high-density boards; manage high-speed signals and power integrity</li><li>Lead EMC / EMI design and remediation</li><li>Collaborate with structural, hardware, and process teams on PCB prototyping and board bring-up</li><li>Produce Gerber files, stencil files, and manufacturing documentation</li></ul>Requirements<ul><li>Bachelor's or above in Electronic Engineering, Communications, Automation, or related fields</li><li>Proficient in Altium Designer or Cadence Allegro</li><li>Experience with 4+ layer multi-layer board design</li><li>Understanding of high-speed signal and EMC design principles</li><li>Hardware debugging experience; able to use oscilloscopes and other instruments</li><li>Eligible under Hong Kong RTH subsidy</li></ul>Preferred Qualifications<ul><li>Experience with HDI or flex PCB design</li><li>Experience with CE / FCC certification</li></ul>

PCB Design Engineer

As a Senior Data Scientist at TAU Intelligence, you will work closely with the whole R&amp;D team to design, build, and deploy LLM-based AI solutions into production. You will bridge the gap between cutting-edge AI research and real-world enterprise applications, developing models and algorithms that directly power our aligned AI products. What You'll Do:<ul><li>Contribute to the development of our foundational AI platform, building capabilities such as ingestion, search, relevance matching, thematic analysis, and visual model search</li><li>Design, implement, and optimize LLM-based solutions and machine learning models that run on and extend the platform</li><li>Write clean, maintainable, and well-documented code; participate in code review and architectural design of both platform and application components</li><li>Analyze large-scale datasets to identify trends, extract insights, and inform platform development and model iteration</li><li>Partner with data engineers to build scalable data pipelines and optimize LLM inference performance, latency, and cost</li><li>Create dashboards and visualizations to communicate findings effectively to stakeholders</li><li>Serve as a key technical point of contact for client syncs and issue resolution</li><li>Contribute to technical documentation, proposals, and functional specifications</li><li>Participate in brainstorming and problem-solving discussions to identify data-driven solutions to business challenges</li><li>Evaluate, monitor, and continuously improve model performance, accuracy, and alignment in production</li><li>Stay current with advances in LLMs and AI research; proactively identify, prototype, and champion new techniques for integration into the platform</li></ul>

Senior Data Scientist

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)

Role OverviewWe are building truly SOTA (State-of-the-Art) video generation foundation models and world models. You will join an elite, lean engineering team spanning across four major areas: B2B/B2C product full-stack development, AI training data platforms, domain-specific big data infrastructure, and frontend engineering. You will be responsible for end-to-end delivery of core business modules—designing, developing, and continuously optimizing our production systems, model training data infrastructure, and cloud architecture to ensure high availability and reliability. What You Will Do<ul><li data-zone-id="0" data-line-index="4" data-line="true">Microservices Backend: Design and develop core microservices for our video generation platform, covering user management, video task scheduling, billing/credits, payments, API gateways, and content processing pipelines. Maintain sharded high-concurrency MySQL architectures and Kafka asynchronous task streams, ensuring production stability leveraging K8s/EKS and ES/Kibana observability systems.</li><li data-zone-id="0" data-line-index="5" data-line="true">AI Training Data Platform: Build high-performance data engines for our video foundation model team, managing the full lifecycle of training data processing and dataset version releases. Work closely with the algorithm team to directly drive model iteration efficiency.</li><li data-zone-id="0" data-line-index="6" data-line="true">Big Data Lakehouse: Build and evolve our big data infrastructure, including data warehousing, Spark offline computing, Trino/Athena interactive querying, and BI dashboards (Superset).</li><li data-zone-id="0" data-line-index="7" data-line="true">Frontend Engineering: Use React + TypeScript to build and iterate user interfaces across B2B/B2C products, internal data platforms, and operational tools—including data dashboards/visualizations, multi-dimensional filtering and exploration, video previews, human QC interfaces, and task orchestration workbenches.</li><li data-zone-id="0" data-line-index="8" data-line="true">Ambiguity to Execution: Independently own the end-to-end lifecycle from problem definition → solution design → cross-team alignment → development &amp; deployment → data validation, taking full accountability for delivery outcomes. </li></ul>What We Expect From YouBasic Qualifications<ul><li data-zone-id="0" data-line-index="2" data-line="true">Bachelor’s degree or above in Computer Science, Software Engineering, Telecommunications, or related fields; 3+ years of backend or full-stack software development experience.</li><li data-zone-id="0" data-line-index="3" data-line="true">Proficient in at least one of the following languages: Java, Python, or Go.</li><li data-zone-id="0" data-line-index="4" data-line="true">Production Microservices Architecture: Hands-on experience with service decomposition, API design, database sharding, message queues (Kafka / RocketMQ), caching (Redis / Memcached), distributed transactions, idempotency design, and Docker + Kubernetes deployment/ops, backed by a proven track record of building scalable distributed systems.</li><li data-zone-id="0" data-line-index="5" data-line="true">Frontend Capabilities: Solid engineering skills in React + TypeScript, familiar with state management, build toolchains (Vite / Webpack), component-driven design, and frontend performance optimization (e.g., virtual scrolling for large-scale data tables/lists, video streaming integration). Able to deliver full-stack features independently. Experience with visualization tools like ECharts / AntV is a plus.</li><li data-zone-id="0" data-line-index="6" data-line="true">Big Data &amp; Data Warehousing: Familiar with Spark, Kafka, CDC sync, data lake tech (at least one of Hudi / Iceberg / Delta Lake), and OLAP engines (Trino / Presto / Athena / ClickHouse, etc.), with experience handling datasets at the hundred-million scale or above.</li><li data-zone-id="0" data-line-index="7" data-line="true">Cloud Infrastructure: Proficient in at least two major cloud platforms (AWS, Alibaba Cloud, Tencent Cloud) using services such as EKS/ACK, RDS, S3/OSS/COS, MSK, EMR, etc. Multi-cloud or cross-cloud architecture experience is preferred.</li><li data-zone-id="0" data-line-index="8" data-line="true">Strong Ownership &amp; Problem-Solving: Ability to break down ambiguous requirements without predefined playbooks, deliver high-quality solutions, and proactively validate data correctness rather than settling for code that "just runs."</li></ul>Preferred Qualifications<ul><li data-zone-id="0" data-line-index="11" data-line="true">AI/ML Engineering Experience: Hands-on experience in ML data pipelines, feature/sample engineering, dataset management, inference serving, or deep involvement in core engineering infrastructure for Large Models (LLMs / Diffusion Models / Video Generation).</li><li data-zone-id="0" data-line-index="12" data-line="true">Experience in web scraping/data acquisition, copyright compliance, data licensing management, or building data annotation and human audit platforms.</li><li data-zone-id="0" data-line-index="13" data-line="true">Proficiency with AI coding tools (Cursor, Claude, Copilot, etc.) to significantly boost personal productivity, supported by your own workflows.</li><li data-zone-id="0" data-line-index="14" data-line="true">Track record of building internal platforms/middle-platforms from scratch (0-to-1), or backend experience with high-concurrency B2C products (1M+ DAU).</li><li data-zone-id="0" data-line-index="15" data-line="true">Comprehensive experience in CI/CD practices.</li><li data-zone-id="0" data-line-index="16" data-line="true">Bilingual proficiency: Strong written and verbal communication skills in English (our team is geographically distributed with cross-border collaboration).</li></ul>

Full Stack Engineer

Send CV to hr@akerf.com​Daily Administrative Reception​<ul><li>Send and receive emails; receive visitors; arrange meetings</li><li>Dispatch and receive couriers and mail; manage office supplies and equipment</li><li>Maintain office environment; coordinate with logistics suppliers</li></ul> Documentation &amp; Archives​<ul><li>Format, print, scan, and archive documents in Chinese (Simplified &amp; Traditional) and English</li><li>Compile meeting minutes; file contracts and government correspondence</li><li>Register seal usage; manage document filing</li></ul> HR-Related Tasks​<ul><li>Process employee onboarding and offboarding</li><li>Handle employee MPF account filings, including enrollment and termination</li><li>Assist in employer tax return filing; answer basic Employment Ordinance inquiries</li></ul> Financial Support​<ul><li>Collect and verify employee travel expense reimbursement claims</li><li>Record petty cash transactions; organize bills and submit to accounting</li></ul> Hong Kong Company Compliance Support​<ul><li>Receive and dispatch documents from the Companies Registry, Inland Revenue Department, and MPFA</li><li>Remind of annual returns and Business Registration renewal; coordinate with company secretary to compile materials</li></ul>Business &amp; Other Duties​<ul><li>Communicate with clients and suppliers via email in both Chinese and English</li><li>Coordinate logistics for meetings, team-building events, and exhibitions</li><li>Arrange cross-border document/sample shipping; handle ad hoc tasks assigned by management</li></ul> 一、日常行政接待<ul><li>收发电子邮件；接待访客；安排会议</li><li>收发快递、信件；管理办公用品及办公设备</li><li>维护办公环境；协调后勤供应商</li></ul>二、文书档案<ul><li>对简体中文、繁体中文及英文文件进行排版、打印、扫描及归档</li><li>整理会议纪要；归档合同及政府信函</li><li>登记印章使用；管理文件档案</li></ul>三、人事相关<ul><li>办理员工入职及离职手续</li><li>处理员工强积金账户申报，包括新增及注销</li><li>协助进行雇主报税；解答基础《雇佣条例》相关问题</li></ul>四、财务辅助<ul><li>收集及核对员工差旅报销单据</li><li>登记零用现金；整理各类账单并提交至会计部门</li></ul>五、香港公司合规辅助<ul><li>收发公司注册处、税务局及积金局文件</li><li>提醒周年申报及商业登记证续期；配合公司秘书整理相关资料</li></ul>六、商务及其他<ul><li>以中英文邮件与客户及供应商沟通</li><li>协调会议、团建活动及展会的后勤筹备</li><li>安排跨境文件/样品寄送；处理管理层交办的临时事务</li></ul>

Where Talent Meets Opportunity