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

Mad Head Limited is a Hong Kong-based game studio famous for the global hit “Tower of Saviors” (神魔之塔). We create engaging gaming experiences for millions of players worldwide.We are hiring! Come join our team of professionals passionate to games.We’re looking for a Project Coordinator to keep projects on track, analyze data, and ensure smooth game development. You’ll be the go-to person for coordinating teams and driving project success. What you will be doing:<ul><li>End-to-End Task Management:Manage, update, and maintain project schedules and task assignments. Follow-up and manage end-to-end tasks throughout the project cycle.</li><li>Project progress Facilitation:Proactive follow up project progress with production teams by leading meetings and providing status reports to management. Precise documentation of all project deliverables and action items.</li><li>Cross-Functional Liaison:Act as the primary contact point between production teams and Producer. Liaise and coordinate with internal teams to drive project dependencies, resolve issues, and ensure alignment toward shared goals and milestones.</li><li>Project Data Analysis and Reporting:Collect and analyze project data such as user feedback and market trends to spot opportunities and risks.</li><li>Management Administrative Support: Support to senior management, including meeting schedule management, admin tasks and paperwork for events and overseas trips.</li><li>Operation Enhancement:Explore project enhancements in productivity optimizations.</li></ul>What you need for this position:<ul><li>Bachelor’s Degree holder with 2+ years of relevant working experience</li><li>Strong organizational skills and attention to detail</li><li>Excellent communication and teamworking abilities</li><li>Proficient in English and Chinese (both Cantonese &amp; Mandarin)</li><li>A genuine enthusiasm for the gaming industry and a proactive problem-solving mindset</li></ul>Bonus Points:<ul><li>Familiar with project management tools (e.g. Jira, Trello, Excel, Google Sheets)</li><li>Experience in IT industry, and working with senior managers</li><li>Candidates with project management experience will be considered as Project Executive</li></ul>Working Location &amp; Hours: <ul><li>Hong Kong Science Park</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 (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> Interested parties please send your resume with expected salary to us. 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.

Project Executive (Game Industry)

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>

Large Language Model (LLM) Specialist

About the RoleWe are seeking an experienced AI Engineer 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 (</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>Solid 2+ years focused on LLM applications or chatbot development (Candidates with more experience will be considered for a senior role.)</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, LangChain 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 LLM workflow tracing and observability frameworks (MLflow, Phoenix, Langfuse, 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>Excellent Chinese reading skill</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>Excited to join us? Press APPLY or email your resume to jobs@pantheonlab.ai with: - The role you're applying for - Your availability - Expected salary We can’t wait to hear from you! NOTE: All personal data is collected for recruitment purposes only.

AI Engineer

-Assist in project planning and execution, including budget tracking, timeline management, and resource allocation to ensure milestones are met. -Support prototype and system design by utilizing specialized tools and software to create layouts, drafts, and technical optimizations. -Participate in site visits and field inspections to monitor project progress, coordinate with vendors, and assist with hands-on troubleshooting. -Collaborate with cross-functional teams to document project outcomes, streamline workflows, and prepare progress reports for stakeholders. -Engage in project meetings and brainstorming sessions to contribute fresh ideas, solve logistical challenges, and improve project efficiency. The applicant must be available to work full-time for at least two full months continuously between July and December 2026. Please indicate in your cover letter the months you can work continuously on a full-time basis. Applications without this information will not be considered.

Full-time Intern

Job titleRobotics Engineer (Electronic and Mechatronic) Company: NOVADYNAMIX TECH LIMITEDEmployment Type: Full-Time About NOVADYNAMIX TECH LIMITEDAt NOVADYNAMIX TECH LIMITED, we are pushing the boundaries of what is possible in automation and robotics. We are a forward-thinking technology company currently developing a cutting-edge robotic system. We are looking for passionate innovators to join our dynamic team and help bring our vision to life. Position OverviewWe are seeking a highly skilled and versatile Robotics Engineer (Electronic and Mechatronic) to play a critical role in the hardware development of our flagship robot. In this role, you will bridge the gap between electrical design and mechanical execution. You will be responsible for the end-to-end design, prototyping, integration, and testing of the robotic systems, ensuring seamless communication between sensors, actuators, and the core processing units. Key Responsibilities<ul><li aria-level="1">System Design &amp; Integration: Design and integrate complex mechatronic systems, including motor controllers, power management systems, and sensor arrays.</li><li aria-level="1">PCB &amp; Circuit Design: Schematic capture and PCB layout for custom electronic boards used in motor control, signal routing, and computing.</li><li aria-level="1">Prototyping &amp; Testing: Build, test, and troubleshoot hardware prototypes. Conduct rigorous performance, reliability, and safety testing on electronic and mechanical components.</li><li aria-level="1">Actuation &amp; Sensing: Select, implement, and calibrate motors, servos, encoders, IMUs, LiDAR, or vision systems appropriate for the robot's functional requirements.</li></ul><ul><li aria-level="1">Documentation: Maintain comprehensive engineering documentation, including Bill of Materials (BOM), wiring diagrams, and testing protocols.</li></ul> Requirements<ul><li aria-level="1">Education: Bachelor’s or Master’s degree in Mechatronics, Electronics Engineering, Robotics, or a related technical discipline.</li><li aria-level="1">Hardware Expertise: Proven experience in designing mixed-signal circuits, PCB layout (using tools like Altium, KiCad, or Eagle), and embedded hardware.</li><li aria-level="1">Mechatronics Proficiency: Strong understanding of kinematics, motor control theory (BLDC, stepper, servo motors), and actuator selection.</li><li aria-level="1">Embedded Systems: Experience working with microcontrollers (e.g., STM32, ARM Cortex) and communication protocols (I2C, SPI, UART, CAN bus).</li><li aria-level="1">Prototyping Skills: Hands-on experience with lab equipment (oscilloscopes, multimeters, logic analyzers) and rapid prototyping tools (3D printing, basic machining).</li><li aria-level="1">Problem-Solving: Excellent analytical skills with the ability to debug complex hardware-software integration issues.</li></ul> Bonus Qualifications:<ul><li aria-level="1">Familiarity with the Robot Operating System (ROS / ROS2).</li><li aria-level="1">Experience with firmware development in C/C++.</li><li aria-level="1">Prior experience successfully bringing a hardware product from concept to manufacturing.</li></ul> What We Offer<ul><li aria-level="1">Competitive salary and performance-based bonuses.</li><li aria-level="1">Comprehensive medical and dental insurance.</li><li aria-level="1">Flexible working hours and a collaborative, innovative startup environment.</li><li aria-level="1">Opportunities for rapid career growth and hands-on experience with cutting-edge technologies.</li></ul> How to ApplyReady to build the future of robotics with us? Please send your resume, a brief cover letter, and a portfolio showcasing your past electronic/mechatronic projects to us with the subject line: "Application: Robotics Engineer - [Your Name]".

Where Talent Meets Opportunity