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

Internship Period: 1 month (TBC: exact dates subject to camp schedule)Remuneration: Internship allowance provided; outstanding interns may be offered contract renewalAbout UsThe InnoHK Hong Kong Center for Construction Robotics (HKCRC) is a world-leading innovation platform dedicated to advancing smart construction. Established in 2020 under the Hong Kong SAR government's InnoHK initiative, HKCRC is a collaboration between the Hong Kong University of Science and Technology (HKUST) and the University of California, Berkeley. Led by Professor Li Zexiang from HKUST, HKCRC brings together a team of top global researchers and industry experts, focusing on three core domains: Construction Robotics, Smart Machinery, and Smart Operations and Maintenance. HKCRC delivers breakthrough technologies that redefine productivity, safety, and sustainability, creating real-world impact across the construction ecosystemPosition OverviewThis internship involves full participation as an intern in HKCRC's Innovation Mini-Camp. Over the one-month period, you will immerse yourself in the innovation and entrepreneurship ecosystem of smart construction and robotics, collaborating with interdisciplinary teams and experiencing the full journey from industry research to product definition.Key Responsibilities<ul><li>Actively participate in all Mini-Camp activities, including workshops, site visits, and team collaborations</li><li>Conduct research and project work in construction robotics/smart construction under mentor guidance</li><li>Engage in industry research and pain-point analysis; assist teams in product definition and solution design</li><li>Support project pitch preparation and result presentation</li><li>Complete other camp-related tasks as assigned by supervisors</li></ul>QualificationsEducation:<ul><li>Current undergraduate or postgraduate student at a Hong Kong university (Year 3, Year 4, or (incoming) Master's Year 1/2 preferred)</li></ul>Preferred Majors (any of the following):<ul><li>Robotics, Automation, Mechanical Engineering, Electronic Engineering, Computer Science, AI, Software Engineering, or related hard-tech disciplines</li><li>Civil Engineering, Architecture, or related construction fields</li><li>Industrial Design, Product Design, or related fields</li></ul>Skills &amp; Attributes:<ul><li>Strong interest in hard-tech entrepreneurship, smart construction, and robotics</li><li>Collaborative mindset with proactive thinking and fast learning ability</li><li>Experience in robotics competitions (e.g., RM, RC) is a plus</li><li>Good communication skills in both English and Chinese</li></ul>What You Gain<ul><li>Exposure to cutting-edge construction robotics products and startup projects in the GBA region</li><li>Direct interaction with industry experts and entrepreneurs for hands-on guidance</li><li>Deep-dive experience of the full 0-to-1 hard-tech entrepreneurship process</li><li>Internship allowance and internship certificate</li><li>Opportunity for contract renewal for outstanding interns; top performers may receive HKCRC internship or full-time offers</li></ul>How to ApplyPlease send your CV (PDF format) to: careerhkcrc@ust.hkEmail subject and CV file naming format: Mini-Camp Intern-Name-University-MajorCV can be submitted in either English or Chinese.

Innovation Mini-Camp Intern

We are hiring! Come join our team of professionals passionate to game! We also welcome IANG and TPS visa holder job seekers. What you will be doing:<ul><li>Develop, maintain, and enhance backend services and web applications powering Tower of Saviors (神魔之塔).</li><li>Optimize API performance, database efficiency, scalability, and overall system reliability.</li><li>Collaborate closely with game designers, frontend developers, and QA throughout the software development lifecycle.</li><li>Write unit and integration tests using PHPUnit, Jest, or Mocha to ensure software quality.</li></ul>What you need for this position:<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.</li><li>2 to 3+ years of experience in backend or full-stack web application development.</li><li>Passion for gaming and building high-quality player experiences.</li><li>Proficiency in React and one or more of the following technologies: PHP / Laravel / TypeScript / Node.js</li><li>Understanding of RESTful APIs, relational databases, and software design principles.</li></ul>Nice to have<ul><li>Experience with CI/CD pipelines (e.g. Jenkins, GitHub Actions).</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure.</li><li>Experience using AI-assisted development tools such as GitHub Copilot, Codex, or Cursor. </li></ul>Working Location &amp; Hours: <ul><li>Hong Kong Science Park, Shatin</li><li>5-day work, 10:00 – 19:00 (Lunch hour 13:45 – 15:00) </li></ul> We Offer:<ul><li>5-day Work Week with Flexible Working Hours</li><li>Discretionary Performance Bonus</li><li>Medical Coverage</li><li>Overtime Meal and Transportation Subsidy</li><li>Birthday and Marriage Leave</li><li>Fun, Exciting and Creative Working Environment</li></ul> Application method: Interested candidates please click the "Apply Now" button to apply and provide your portfolio for our review. 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

Senior Programmer (Server)

Key Responsibilities / 崗位職責<ul><li>IoT Platform Development（IoT平臺開發）</li><ul><li>Participate in the architecture design and end-to-end functional development of the IoT cloud platform, covering key modules such as device provisioning, device lifecycle management, real-time data visualization, alert rule configuration, and historical data analytics.</li><li>Handle device-to-cloud communication protocol integration and optimization, implementing core features including high-frequency telemetry data ingestion, reliable remote command and control, and OTA firmware update pipelines with rollback and version management capabilities. Ensure the stability and reliability of data transmission.</li><li>Assist the hardware team with device provisioning workflow design, network debugging, and end-to-end communication stability optimization. </li></ul><li>Web Development（網頁開發）</li><ul><li>Responsible for front-end interface development of the company's official website, admin panels, and high-conversion landing pages.</li><li>Collaborate with designers to translate wireframes and mockups into functional, high-quality user interfaces.</li></ul></ul>Requirements / 職位要求<ul><li>Education:</li><ul><li>Currently pursuing or holding a degree in Computer Science, Software Engineering, or a related field.</li></ul><li>Technical Skills:</li><ul><li>IoT Related: Understanding of common IoT communication protocols (e.g., MQTT, CoAP, HTTP/HTTPS), with hands-on project experience preferred. </li><li>Web: Proficient in HTML5, CSS3, JavaScript/TypeScript, and at least one modern front-end framework (React/Vue, etc.), with a basic understanding of Node.js on the server side.</li><li>Database: Proficiency in at least one database system, such as MySQL, PostgreSQL, or MongoDB.</li></ul><li>Core Competencies:</li><ul><li>Strong learning agility with the ability to quickly adapt to technological iterations and a genuine curiosity for emerging technologies like IoT.</li><li>Excellent teamwork mindset, transparent and efficient communication, and a strong sense of ownership.</li></ul></ul>Preferred Qualifications<ul><li>Candidates with relevant project experience will be given preference.</li></ul>

Full-Stack Development Engineer (IoT Platform / Web)

Job ResponsibilitiesInnovation &amp; Research: • Explore state-of-the-art technologies in AI-driven quality management, Statistical Process Control, process capability analysis, quality traceability, and anomaly detection for PCB/FPC manufacturing. • Lead the algorithm design and system architecture of the AI + SPC quality intelligence system, covering quality data modeling, control chart analysis, process capability evaluation, yield prediction, and root cause analysis. • Apply statistical methods, machine learning, and large language models to enable intelligent quality monitoring, anomaly warning, and data-driven process improvement. • Participate in overall platform architecture design, bridging statistical modeling, AI capabilities, and industrial system implementation through model validation, integration, and performance optimization.Collaboration &amp; Implementation: • Collaborate with manufacturing clients, quality teams, process engineers, and internal product teams to identify quality bottlenecks and develop intelligent quality management solutions. • Integrate R&amp;D outcomes into scalable and reusable modules for SPC analysis, quality traceability, anomaly diagnosis, and automated quality reporting. • Work cross-functionally with other modules, such as ERP, MES, AI Assistant, Quotation, and Engineering Data Parsing, to build an end-to-end intelligent manufacturing ecosystem. • Share research findings and contribute to a culture of statistical rigor, engineering excellence, and continuous quality improvement within the team.⸻Qualifications &amp; Preferred SkillsEducation &amp; Foundation: • Master’s or PhD in Statistics, Applied Mathematics, Industrial Engineering, Quality Engineering, Computer Science, Artificial Intelligence, Automation, or a related field. • Solid foundation in statistics, data analysis, machine learning, and manufacturing quality management, with strong interest in AI-driven industrial systems.Technical Expertise: • Proficiency in Python, with hands-on experience in statistical modeling, data analysis, algorithm design, and system development. • Familiarity with statistical methods such as hypothesis testing, regression analysis, ANOVA, time series analysis, anomaly detection, DOE, SPC, and process capability analysis. • Knowledge of control charts, CPK/PPK, yield analysis, quality traceability, root cause analysis, FMEA, MSA, 8D, or CAPA is a plus. • Experience with Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, PyTorch, TensorFlow, SQL, Linux, Git, Docker, and API development preferred.Mindset &amp; Competencies: • Passionate about applying AI and statistical methods to real-world manufacturing quality challenges. • Strong problem-solving and analytical mindset, able to translate quality problems into measurable, explainable, and deployable technical solutions. • Excellent communication and cross-functional collaboration skills, capable of working effectively with quality, production, engineering, IT, and remote teams.

R&D Engineer – AI + SPC Quality Intelligence System

崗位職責<ol><li>負責香港及海外市場一級市場專案挖掘、盡職調查、財務建模與估值分析； </li><li>主導投資交易結構設計、交易談判、投決材料撰寫與投後管理；</li><li>跟蹤宏觀政策與行業趨勢，制定區域投資策略，建立並保持與仲介機構、合作夥伴、主管部門和潛在合作夥伴的良好業務關係；</li><li>協助基金籌募、LP溝通及外部客戶的日常協調及溝通工作；</li><li>完成公司交辦的其他臨時任務。 </li></ol>任職要求<ol><li>本科及以上學歷，優先考慮STEM、金融、法律、經濟等相關專業背景；</li><li>3年以上香港/跨境投資相關經驗，具備完整專案執行經歷；</li><li>精通財務模型，熟悉香港及海外市場上市規則、並購流程與合規要求；</li><li>普通話、粵語、英語流利，具備優秀的中文寫作能力；</li><li>責任心強，具備較強的溝通、協調及問題解決能力，秉持誠信、勤勉、敬業的職業態度與協作精神。 </li></ol>

投研分析師 Investment Research Analyst

We are seeking a Master-level Contech Project R&amp;D Engineer to join our technical team. This role focuses on construction site safety technology research and product development, including safety risk early warning, intelligent site monitoring, safety standardization and accident prevention technologies. You will oversee full-cycle safety R&amp;D projects, resolve on-site safety technical problems, optimize intelligent safety management solutions, and promote technical innovation and practical application in construction sites.Key Responsibilities<ul data-eleid="16"><li data-eleid="17">Conduct professional research on construction site safety, track industry advanced safety technologies and trends, analyze market pain points, and complete feasibility analysis and research reports.</li><li data-eleid="19">Carry out R&amp;D of construction site safety technologies and intelligent safety management products, complete scheme design, development, testing and optimization, and solve core on-site safety technical problems.</li><li data-eleid="21">Formulate R&amp;D test standards and safety specifications, record experimental data, and deliver standardized technical reports and project documents.</li><li data-eleid="23">Cooperate with engineering and safety management teams to complete trial application, on-site debugging and effect verification of safety R&amp;D achievements, ensuring compliance with national construction safety standards.</li><li data-eleid="25">Sort out technical innovation points, participate in patent layout and scientific research project declaration, and accumulate core safety technical reserves for the company.</li><li data-eleid="27">Follow up the update of national construction safety policies and specifications, and continuously optimize R&amp;D schemes to improve the practicality of safety technologies.</li></ul>Job Requirements:<ul data-eleid="32"><li data-eleid="33">Master’s degree or above in Civil Engineering, Construction Safety Engineering, Safety Science and Engineering, Intelligent Construction or related majors.</li><li data-eleid="35">3-5 years of construction site safety technology R&amp;D experience.</li><li data-eleid="37">Familiar with national construction safety codes and on-site safety management systems, with independent safety R&amp;D and problem-solving capabilities.</li><li data-eleid="39">Proficient in conventional R&amp;D design and data analysis tools, capable of independent scheme design and experimental verification.</li><li data-eleid="41">Possess good logical thinking, technical writing and cross-departmental communication skills, able to advance projects independently.</li><li data-eleid="43">Rigorous, innovative and team-oriented, able to work under project pressure.</li><li data-eleid="45">Candidates with intelligent construction safety system R&amp;D experience or relevant patents are preferred</li></ul>BenefitsCompetitive salary, paid annual leave, flexible working atmosphere.Salary：HK$25,000-30,000/Monthly

Contech project r&d engineer

Main purpose of the job<ul><li>Support hardware development activities and complete assigned tasks.</li><li>Contribute to reliable and producible HW design work (components, PCB, PCBA, and product integration) in accordance with requirements, goals, and constraints.</li><li>Build technical competence through active participation in design, validation, documentation and during product development.</li><li>Competency in reading and interpretation of Circuit Diagrams, with respect to PCB assemblies and systems</li></ul>Responsibilities/Key tasks<ul><li>Support the new product design and development process;</li><li>Prepare Schematics and PCB layouts, engineering prototypes and/or testing specifications as per the projects required;</li><li>Support schematic design updates, PCB layout reviews, hardware bring-up, validation, and type approval test preparation and execution;</li><li>Coordinate with the mechanical engineering team throughout the product development and production process;</li><li>Perform lab measurements, collect test data, and document findings with clear and evidence-based content.</li><li>Assist in collecting input, maintaining, and releasing Top Level BOM data.</li></ul>Requirements<ul><li>Degree holder and major in Electronic engineer or Computer Engineering or related engineering.</li><li>Minimum 2 years of solid experience in R &amp; D, 2 - 5 years of relevant working in electronic engineering experience is preferred</li><li>Familiar with the application of safety standards, MCU hardware and software, digital and power electronics working principium</li><li>Proficiency in engineering design software and tools</li><li>Good command of English and Chinese</li></ul> All personal data collected will be used strictly for recruitment purpose only.

Electronic Engineer

Core: B2B Product (60%)<ul><li data-zone-id="0" data-line-index="1" data-line="true">Own the BACH product roadmap</li><li data-zone-id="0" data-line-index="2" data-line="true">Design enterprise product solutions for e-commerce content production, TVC advertising, and brand content creation</li><li data-zone-id="0" data-line-index="3" data-line="true">Define API specifications, billing models, SLA standards, and SDK design for seamless enterprise integration</li><li data-zone-id="0" data-line-index="4" data-line="true">Establish B2B product metrics: API call volume, customer retention, generation success rate, NPS, etc.</li></ul>Agent (25%)<ul><li data-zone-id="0" data-line-index="7" data-line="true">Plan the BACH Agent workflow product: from single generation to multi-shot orchestration to end-to-end automated video production</li><li data-zone-id="0" data-line-index="8" data-line="true">Design Agent task decomposition, tool calling, and workflow orchestration mechanisms</li><li data-zone-id="0" data-line-index="9" data-line="true">Define how Agents collaborate with the video generation engine: prompt optimization, shot planning, audio-video sync, post-editing</li></ul>Consumer Product (15%)<ul><li data-zone-id="0" data-line-index="12" data-line="true">Contribute to bach.art creator studio: onboarding, prompt templates, creation tools</li><li data-zone-id="0" data-line-index="13" data-line="true">Analyze user behavior data (download rate, regeneration rate, feature usage) to drive product iterations</li><li data-zone-id="0" data-line-index="14" data-line="true">Assist in creator growth strategy and community operations </li></ul>Requirements<ul><li data-zone-id="0" data-line-index="1" data-line="true">Bachelor's degree or above, 3~5 years as a Product Manager</li><li data-zone-id="0" data-line-index="1" data-line="true">B2B / API / SaaS / platform product experience; understanding of enterprise integration needs and decision chains</li><li data-zone-id="0" data-line-index="3" data-line="true">Basic understanding of AI video generation: Diffusion Models, DiT, I2V, T2V capability boundaries</li><li data-zone-id="0" data-line-index="4" data-line="true">Strong product abstraction and structured thinking; ability to package complex AI capabilities into clear, usable products</li><li data-zone-id="0" data-line-index="5" data-line="true">Effective collaboration with algorithm and engineering teams; able to translate technical constraints into product decisions</li><li data-zone-id="0" data-line-index="6" data-line="true">Working proficiency in English; we are an international team (Lark as primary collaboration tool)</li></ul>Nice to Have<ul><li data-zone-id="0" data-line-index="9" data-line="true">Product experience in video generation, video editing, or content creation tools (Runway / Kling / Pika / CapCut competitor experience preferred)</li><li data-zone-id="0" data-line-index="10" data-line="true">Agent / workflow / LLM application product experience; understanding of task orchestration, tool calling, memory mechanisms</li><li data-zone-id="0" data-line-index="11" data-line="true">Experience building an API product from 0 to 1 with commercial validation</li><li data-zone-id="0" data-line-index="12" data-line="true">Power user of AIGC / AI video products with deep experience across mainstream tools</li><li data-zone-id="0" data-line-index="13" data-line="true">E-commerce or advertising industry background; understanding of TVC / e-commerce content / brand production pipeline</li><li data-zone-id="0" data-line-index="14" data-line="true">International product experience; understanding of localization needs for global products</li></ul>

Product Manager

Job Responsibilities<ul><li>Lead the deep integration of large language models (LLMs) with Web3 search scenarios, and optimize users’ natural language interaction experience, including intent recognition, multi-turn dialogue, and accurate question-and-answer functions. </li><li>Take charge of core R&amp;D for LLM technologies, including but not limited to Supervised Fine-Tuning (SFT), Prompt Engineering, Retrieval-Augmented Generation (RAG), vector search optimization, and multimodal information fusion (text + on-chain data). </li><li>Optimize domain adaptability of LLMs tailored to Web3 characteristics, such as industry jargon, on-chain data structures and multilingual scenarios. Build exclusive Web3 knowledge bases and glossaries to improve search recall rate and QA accuracy. </li><li>Be responsible for performance optimization, cost control and stability assurance of LLM services. Resolve engineering challenges including inference latency, context window constraints and consistency of multi-turn conversations. </li><li>Keep track of cutting-edge LLM advancements (open-source model iterations, multimodal LLMs, Agent technology, etc.), conduct technical innovation and practical verification customized for Web3 search use cases. </li><li>Deploy LLMs on on-premise server hardware and realize dynamic scaling of computing resources. </li><li>Build up the LLM technical team, and promote technical accumulation and standardized process formulation.</li></ul>Job Requirements<ul><li>Full-time bachelor’s degree or above in Computer Science and related majors, with AI, Machine Learning, Deep Learning or similar specializations preferred. Minimum 3 years of hands-on R&amp;D experience with large language models (LLMs); candidates with proven experience delivering search engines, intelligent Q&amp;A systems or Retrieval-Augmented Generation (RAG) pipelines to production are preferred. </li><li>Master core LLM technical stacks; proficient in fine-tuning, deployment and optimization of at least one mainstream LLM (GPT series, Llama series, Qwen, etc.). Prior experience with large-scale pre-trained models is a plus.</li></ul>

Where Talent Meets Opportunity