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

- Assist in the development and execution of marketing campaigns across various channels (social media, email, content marketing)- Conduct market research to identify trends and insights.- Create engaging content for our social media platforms and website.- Support the team in organizing promotional events and campaigns

Digital Marketing

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 (LLM/ Chatbot)

About the role We are looking for a Senior Engineer, Mechanical Design to join our high-tech R&amp;D and engineering team, where you will develop cutting-edge solutions for the next generation of semiconductor equipment. What you will do<ul><li>Tooling design for high-speed high precision Semiconductors equipment (AOI system), from conceptual until production release</li><li>Execute design activities to meet system/unit performance requirements</li><li>Work closely with engineers of other disciplines to realize solutions fulfilling customer requirement</li><li>Development of new concepts for building blocks to improve or enhance existing equipment</li><li>Work closely with customer to compile performance requirement </li><li>Conduct pre-studies (calculations, modeling, experiments, measurements) and system/unit level risk assessment to verify ideas and adjust the global design if necessary</li><li>Communication with subcons for fabrication and/or design outsource</li><li>Document related processes, manage design documentation and product life cycle management</li><li>ECO/ECN generation and implementation, BOM lists and spare part lists creation </li><li>Conduct part failure analysis and define corrective actions for customer complaints/incidents</li><li>Training service engineers for machine assembly</li></ul>What you will need<ul><li>Degree in Mechanical Engineering or Mechatronics</li><li>Minimum 5 years proven skills / experience in high performance system design</li><li>Knowledge in Solidworks, UG, CAD, PDM, MATLAB simulation, system control and Mechatronics</li><li>Experience on AOI machine design is an advance</li><li>Experience on electrical schematic drafting with AutoCAD is an advance</li><li>Experience on Team Center is an advance</li><li>Good interpersonal skills and able to deliver results through determination and team-work</li><li>Mature, with customer-oriented attitude and innovative</li><li>Strong problem-solving and analytical skills. Familiar with 6-sigma and 8D methods</li><li>Excellent communication skills with fluency in English and Mandarin</li><li>Able to work independently and under pressure</li><li>Travel domestically and internationally as required</li></ul>

Senior Engineer, Mechanical Design

Location: Hong Kong SAR (On-site)Employment Type: Part-timeWorking Hours: Approximately 20–30 hours per week, depending on availability.Compensation: Competitive, based on experience and qualifications.Company Description ECOre is building the next generation of AI infrastructure. We develop high-efficiency immersion cooling systems and intelligent infrastructure management solutions that enable AI data centers to operate more sustainably, reliably, and efficiently. As demand for AI computing continues to accelerate, our mission is to help organizations deploy scalable AI infrastructure while reducing energy consumption, operational costs, and environmental impact. Our technologies combine advanced immersion cooling, intelligent monitoring, and infrastructure optimization to support the future of high-performance computing.Role Description As a Technical Business Development Associate (Part-time), you will work directly with ECOre's founding team, customers, strategic partners, and engineering team to accelerate the company's global growth.Your responsibilities include:Identify and develop new business opportunities in AI infrastructure, data centers, cloud computing, and enterprise markets. Build relationships with data center operators, system integrators, distributors, cloud providers, and strategic technology partners. Understand customer requirements and recommend technical solutions that align with their business objectives. Deliver compelling product presentations, demonstrations, and technical discussions to executive and engineering stakeholders. Prepare commercial proposals, quotations, and project documentation. Collaborate closely with engineering and product teams to ensure customer requirements are translated into successful deployments. Manage the sales pipeline from lead generation through contract negotiation and project handover. Represent ECOre at industry conferences, exhibitions, and customer meetings throughout the region. Monitor market trends, competitor activities, and emerging technologies within AI infrastructure and data center ecosystems. Qualifications This role is primarily intended for recent graduates with relevant internship, project, or startup experience.Required: Professional or native-level proficiency in both written and spoken English and Korean is required. Strong interpersonal, presentation, and relationship-building skills. Basic understanding of IT infrastructure, enterprise technology, or cloud computing. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Self-motivated, proactive, and comfortable working in a fast-growing startup environment. Willingness to travel internationally. Preferred: Experience in business development, technical sales, solution consulting, or strategic partnerships. Familiarity with data center infrastructure, AI infrastructure, GPU clusters, liquid/immersion cooling, or enterprise hardware. Experience working with B2B technology customers or channel partners. Knowledge of the AI ecosystem, cloud infrastructure, or high-performance computing (HPC). Experience in Southeast Asia or other international markets. Why Join ECOre? Work directly with the founders of a fast-growing AI infrastructure startup. Gain hands-on experience in global business development and strategic partnerships. Participate in customer meetings, international exhibitions, and industry events. Learn about AI infrastructure, immersion cooling, and next-generation data centers. Build a network across the global AI and data center ecosystem.

Technical Business Development Associate (Part-time)

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 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>

Where Talent Meets Opportunity