Summer Internship 2026 Open for Application

HKSTP Global Internship 2026

Talent Foundry

EPIC 2025

Innovation Mixer

About the RoleAs Technical Lead for Controls &amp; Optimization reporting to the CEO, you will own the development of advanced control algorithms that deliver measurable energy savings for our customers on top of our current AIoT control system. You will translate our Chief Solutions Officer's domain expertise into production-ready optimization systems using Model Predictive Control (MPC), reinforcement learning, and other cutting-edge techniques. This is a hands-on technical role where you will architect, code, and deploy the controls intelligence that differentiates Gaiamesh. This is initially an individual contributor role that can later involve management of direct reports depending on your capability.Location: Hong KongTechnical ChallengeWe seek to solve the global problem of overly complex building controls to unlock grid-integrated building intelligence, overnight. We are focusing on higher-ed, hotel, and AI datacenter markets. To achieve this, we need you to help us solve the following technical challenges. Predict thermal loads and optimize HVAC setpoints in real-time Sequence central plant equipment (chillers, pumps, cooling towers) for minimum energy cost Shift flexible loads to off-peak hours based on time-of-use electricity pricing Defer AI compute workloads in data centers based on cooling capacity and energy prices Deliver guaranteed energy savings with sub-one-year paybackWhat You Will DoAdvanced Controls Architecture Definition Work closely with Chief Solutions Officer to understand customer requirements, control strategies, and M&amp;V methodologies Work closely with our front-end, back-end and firmware teams to position the advanced control logic framework within the current system architecture Translate solutions engineering concepts into technical specifications and algorithm designs Define data requirements, sensor placement, and integration points needed for advanced controls Document control strategies in ways that both technical and non-technical stakeholders can understandControl Algorithm Development Design and implement control algorithms for HVAC optimization Develop thermal prediction models using physics-based approaches, machine learning, or hybrid methods Build optimization engines that balance multiple objectives: energy cost, carbon intensity, occupant comfort, and equipment constraints Implement time-of-use optimization logic that shifts flexible loads to minimize electricity costs Explore reinforcement learning approaches for control problems where explicit models are difficult to construct Write production-quality code for optimization algorithms that integrate with our platformTechnical Leadership Establish best practices for controls algorithm development, testing, and validation Share learnings with team members on control theory, optimization methods, and building science Evaluate build vs. buy decisions for optimization components and solver libraries Stay current with advances in MPC, reinforcement learning, and building energy optimization Represent Gaiamesh's technical capabilities to customers and investorsRequired Skills Control optimization expertise: Deep understanding of control optimization methods such as Model Predictive Control and Reinforcement Learning with practical implementation experience, including formulating objective functions, constraints, and tuning for real-world systems Hands-on coding: Strong Python development skills with experience in numerical computing, optimization libraries, and machine learning frameworks Thermal systems knowledge: Understanding of HVAC systems, chiller plants, and building thermodynamics sufficient to construct physically meaningful models Optimization fundamentals: Solid foundation in mathematical optimization—linear programming, quadratic programming, nonlinear optimization, and when to apply each Systems thinking: Ability to understand complex systems holistically and identify the highest-leverage control interventions Technical communication: Can explain complex algorithms to solutions engineers and translate domain requirements into technical specifications Fluent English and Mandarin for collaboration with international team and customersQualifications 5+ years of progressive experience in product engineering or applied research roles Technical degree in Computer Science, Engineering, or related field (or equivalent practical experience) Experience building B2B software products, automation tools, or AI-powered applications Experience in technical sales, building/energy industries, or domain-specific AI applications is a plus Demonstrated ability to work hands-on with technology - comfortable prototyping, coding, or guiding technical developmentIdeal Candidate Builder and maker who loves shipping products that solve real problems and is comfortable with hands-on technical work Entrepreneurial product leader who thrives in ambiguous environments and can define product vision from scratch Curious technologist who stays current with AI/ML innovations and experiments with new tools and approaches User-obsessed designer who validates assumptions through research and continuously improves based on feedback Data-driven decision maker who instruments products, analyzes metrics, and iterates based on evidence Collaborative partner who works effectively with business, technical, and operational stakeholders Comfortable bridging business and technology, translating user needs into technical requirements and vice versaWhy Join Gaiamesh High Impact Role – Build groundbreaking AI products at the intersection of building science, automation, and revenue technology. Shape product strategy for a fast-growing company with global expansion potential. Define the technical approach for advanced controls from the ground up and help to capture the red-hot AIDC market Collaborative Culture – Work directly with CEO and Chief Solutions Officer to productize world-class building science expertise, and alongside a passionate, talented team that values creativity and innovation. Fast-Paced Learning – Grow your skills rapidly in a dynamic environment with cutting-edge tech. Generous Share Options – Own a piece of the company and share in its growth as we scale. Flexible Work Location – Work remotely, hybrid, or from our office—whatever suits your lifestyle best. Annual Leave – 15-day annual leave and reasonable working hours help maintain a healthy work-life balance.Hiring processWe strive to respect your time and avoid useless whiteboard reversing of binary trees, so we keep the interview process simple and transparent: Single non-technical interview with company leadership to ensure fit, A relevant homework assignment requiring less than 4 hours, Final interview to discuss the assignment and meet members of the team, Hiring decision and offer is made after that.Gaiamesh is committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds.

Technical Lead for Controls & Optimization

🚀 我们在寻找怎样的你我们正在寻找一位能同时理解业务与技术、能把 AI 真正做成产品的全栈工程师。 你不是“被分配任务的执行者”，而是参与系统搭建与产品演进的核心工程角色。🧩 工作内容 1️⃣ 负责 AI 产品与系统的全流程工程交付<ul><li data-list="bullet">从技术视角参与产品方案设计与系统架构</li><li data-list="bullet">负责功能从设计、开发、测试到上线的完整闭环</li><li data-list="bullet">确保系统稳定性、可扩展性与工程质量</li></ul>2️⃣ 覆盖真实业务场景的全栈开发<ul><li data-list="bullet">参与 AI 应用、SaaS 平台、数据与合规工具的开发</li><li data-list="bullet">后端：业务逻辑、API、数据模型、AI 调用与服务编排</li><li data-list="bullet">前端：核心页面、管理后台、数据可视化与交互体验</li></ul>3️⃣ 作为工程枢纽，协同多角色团队<ul><li data-list="bullet">与 AI / 算法 / 产品 / 业务保持高频沟通</li><li data-list="bullet">将复杂、不清晰的业务需求转化为清晰、可实现的技术方案</li><li data-list="bullet">在技术与业务之间承担“翻译 + 判断”角色</li></ul>4️⃣ 参与系统架构与产品长期演进<ul><li data-list="bullet">不只是写代码，而是参与：<ul><li data-list="bullet">技术选型</li><li data-list="bullet">架构设计</li><li data-list="bullet">模块拆分与演进路径</li></ul></li><li data-list="bullet">随着产品增长，逐步承担 Tech Owner / 核心模块负责人 角色</li></ul>5️⃣ 深度使用 AI 工具提升研发效率<ul><li data-list="bullet">主动探索并使用 LLM、Agent、自动化工具等</li><li data-list="bullet">将 AI 用于：<ul><li data-list="bullet">工程效率提升</li><li data-list="bullet">产品能力增强</li><li data-list="bullet">内部开发流程优化</li></ul></li><li data-list="bullet">我们关心的是 “能不能真的用起来”，不是概念展示</li></ul>👀 我们希望你具备的关键特质（重点） 6️⃣ 工程能力扎实，有真实项目经验<ul><li data-list="bullet">3 年及以上全栈或偏后端开发经验</li><li data-list="bullet">至少精通一门后端语言：<ul><li data-list="bullet">Python / Node.js / Java / Go</li></ul></li><li data-list="bullet">熟悉常见数据库与服务架构</li><li data-list="bullet">做过真实生产环境项目，而不是 Demo</li></ul>7️⃣ 有强烈的 ownership 与结果意识<ul><li data-list="bullet">能主动识别问题，而不是等需求拆到很细</li><li data-list="bullet">对系统质量、交付结果负责</li><li data-list="bullet">能把事情从“混乱”推进到“可用、稳定、上线”</li></ul>8️⃣ 对 AI 有高度敏感度与实践兴趣<ul><li data-list="bullet">持续关注 AI 新模型、新工具、新范式</li><li data-list="bullet">对「AI 如何真正改变产品与工程方式」有思考</li><li data-list="bullet">有 AI 相关工程经验是重要加分项</li></ul>9️⃣ 沟通能力强，能与非工程角色协作<ul><li data-list="bullet">能与产品、业务清楚表达技术判断</li><li data-list="bullet">能解释“为什么这样做 / 为什么不这样做”</li><li data-list="bullet">性格开朗、愿意讨论是加分项 🙂</li></ul>🔟 责任心强，抗压且能持续推进<ul><li data-list="bullet">面对需求变化、不确定性，仍能稳步推进</li><li data-list="bullet">不轻易放弃问题，能追到结果</li></ul>

全栈工程师 Full-Stack Engineer

Job Description<ul><li>Participate in the research and development process of photocatalysts</li><li>Perform photocatalyst coatings and chemical doping of the product</li><li>Conduct experiments and day-to-day analytical work</li><li>Assist in laboratory work, data collection, preparation and processing</li><li>Assist in engineering design, testing, development and demonstrations</li><li>Support daily operation and development of the laboratory </li></ul>Field of Study ：Chemistry / Material Science / Engineering related disciplineEducation Level (pursuing / obtained) ：Bachelor’s DegreeSpoken Languages ：Cantonese, EnglishWritten Languages ：Chinese, EnglishRequirement: <ul><li>Bachelor’s degree in science or engineering related discipline; fresh graduates are also welcome</li><li>Experience in research or laboratory operation would be an advantage</li><li>Self-learner</li><li>Personal commitment to quality, attention to detail</li><li>Ensure innovation by actively researching, sharing, and implementing new technologies</li><li>Excellent time management, organisation &amp; prioritisation skills</li><li>Excellent communication and interpersonal skills</li></ul><ul><li>Week: Monday – Friday</li><li>Time: 11:00 am – 7:00 pm</li></ul>Hope you can work with us and play with us!

Research Assistant

No legacy code. No corporate red tape. No pointless meetings.Just you, Unity, and a mission: make education feel like play. We're building interactive games for kids aged 2-7 that are so fun, they don't realize they're learning. Think Peppa Pig meets Duolingo — but the character talks back, responds to the child, and plays with them in real-time.As a Playnium Developer, you will:<ul><li>Design and build the fundamental game systems and architecture in Unity (C#).</li><li>Obsess over game feel — controls, feedback, UI — until it's buttery smooth for tiny hands</li><li>Work directly with the founder to iterate on game design and features based on real feedback.</li></ul>You Might Be a Fit If: <ul><li>You've built things in Unity — show us (GitHub, portfolio, anything)</li><li>You have a Diploma or Degree in Computer Science, Game Design, or related field (or equivalent experience).</li><li>You want to own something, not just maintain someone else's code</li><li>You can figure things out without someone telling you what to do</li></ul>Why Join?<ul><li>Ownership: You're not a cog. You're building this from zero.</li><li>Impact: Kids will learn because of what you create.</li><li>Path to leadership: As we grow, you grow. First developer becomes tech lead.</li></ul>

Game Developer (Unity / C#)

Tomorrow’s Brain Limited is a rising innovator in using cutting-edge Brain and AI technologies to create immersive and dynamic learning experience. We’re looking for talented and motivated full-time Software Engineer (Senior) to join us. If you are passionate about creating innovative solutions that foster child development, this is an opportunity that you shall not miss! Responsibilities:<ul><li>Perform product development and optimization from conceptual design to production deployment based on product requirements and user requests</li><li>Conduct frontend and backend system development, and monitor system performance, ensuring system stability and reliability</li><li>Conduct research on emerging technologies and potential application in existing products</li><li>Perform Unit Test and functional requirement analysis on program design and coding</li><li>Collaborate with cross-functional teams on algorithm implementation, code reviews, and technical knowledge sharing </li></ul>Requirements:<ul><li>Master’s degree (or higher) in Computer Science, Engineering, or a related field</li><li>Proficient in Python, JavaScript, CSS, and Vue.JS</li><li>Familiar with C, C++, and frontend architecture</li><li>Familiar with Linux and Windows Operating Systems </li><li>Demonstrated experience in the following is advantageous:</li><ul><li>Software development</li><li>Design and maintenance of data infrastructure</li><li>Implementation of AI systems and algorithms</li><li>Building and training of machine learning models</li></ul><li>High motivation and meticulous attention to detail with a strong sense of responsibility</li><li>Strong ability to prioritize tasks and work effectively under pressure</li><li>Excellent analytical and problem-solving skills with willingness to learn and apply new technologies for overall technical improvement</li><li>Ability to work independently and collaboratively within a team</li></ul> Applicants should submit application with an up-to-date C.V. and/or cover letter with expected salary. Review of applications will start as soon as possible and continue until February 13, 2026 (Friday), or until the post is filled, whichever is earlier. (Personal data collected will be used for recruitment purpose only. All the information shall be kept confidential.)

Software Engineer (Senior)

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)

Job Highlights- AI and Machine Learning ResearchConduct advanced research in artificial intelligence and machine learning, focusing on developing innovative algorithms and models to solve complex problems. Collaborate with interdisciplinary teams to apply machine learning techniques to real-world applications, enhancing efficiency and decision-making processes. Stay updated with the latest advancements in AI technologies and integrate cutting-edge methods into ongoing projects. - Electronic Engineering and AI/Data AnalyticsDesign and implement electronic systems that leverage AI and data analytics to optimize performance and functionality. Analyze large datasets to extract meaningful insights and drive data-informed decisions, improving product development and operational strategies. Utilize expertise in electronic engineering principles to develop smart solutions that integrate seamlessly with AI technologies.Responsibilities- Conduct Cutting-edge Research in Machine LearningLead innovative research initiatives in machine learning to develop state-of-the-art algorithms that enhance the core competitiveness of company-related products. Collaborate with product teams to integrate research findings into practical applications, significantly improving user experience and satisfaction. Analyze and interpret complex data to drive strategic decisions and product enhancements. - Engage in Fundamental Research ProjectsUndertake foundational research in areas such as generalization, generative modeling, deep learning, and artificial intelligence to advance the field. Publish findings in reputable journals and present at industry conferences to establish thought leadership. Work with cross-functional teams to translate theoretical research into practical solutions for real-world challenges. - Explore Disruptive AI ApplicationsInvestigate and develop pioneering AI applications that have the potential to transform industries and create new market opportunities. Evaluate emerging AI technologies and assess their applicability to current and future business needs. Collaborate with stakeholders to pilot and implement innovative AI solutions that drive growth and competitive advantage.Requirements:Educational Background: Currently pursuing a degree in a STEM field such as Computer Science, Electronic Engineering, Mathematics, or a related discipline.Technical Skills:Basic understanding of programming languages such as Python, Java, or C++. Familiarity with machine learning concepts and frameworks like TensorFlow or PyTorch is a plus. Knowledge of data analysis tools and techniques. Analytical Abilities:Strong problem-solving skills with the ability to analyze complex data sets. Ability to conduct research and apply findings to practical applications. Communication Skills:Excellent verbal and written communication skills for effective collaboration with team members. Ability to present technical concepts clearly to non-technical stakeholders. Teamwork and Collaboration:Ability to work effectively in a team-oriented environment. Willingness to learn from and contribute to interdisciplinary projects.

AI Software Developer Intern

Job DetailsYou will be joining our core team at a critical pre-launch phase, playing a direct role in validating our product and shaping our growth strategy. You will work, under the guidance of the co-founders on the following major tasks:- Market Validation &amp; Data Analysis: Deploy and manage market validation surveys targeted at our key demographics. You will analyze feedback to extract actionable insights on user needs.- Strategic Partnership Support: Assist the founding team in preparing compelling pitch materials and outreach strategies for potential partners.- Social Media Growth Hacking: Develop and execute innovative, targeted social media campaigns to build our pilot program waitlist and generate buzz. You will have the autonomy to test creative ideas and will be responsible for tracking key metrics to measure campaign success.Who We're Looking For:- Aged between 18 and 30- (A full-time post-secondary student holding a Hong Kong Permanent Identify Card; or (ii) A full-time post-secondary student studying in Hong Kong and holding a Hong Kong Identify Card.- Currently pursuing a degree in a STEM related discipline is preferred.- Demonstrable knowledge of social media marketing platforms (Instagram, LinkedIn, Xiaohongshu) and a creative mindset for growth hacking.- Highly analytical with a knack for turning raw data into compelling stories and actionable insights.- An exceptional communicator, both written and verbal, who is comfortable engaging with professionals.Bonus Points (Preferred):- Previous experience in a tech startup.- A personal interest in sustainable fashion and personal branding.What We Offer:Direct mentorship from the founding team and exposure to all facets of building a startup. A negotiable, performance-based bonus structure for successful social media campaigns. Flexible working arrangements and a dynamic, forward-thinking company culture.

Business Analytics / Tech Start-up Strategy Intern

Key Responsibilities<ol><li> Government Funding &amp; Grant Support</li></ol><ul><li>Assist in researching, preparing, and submitting applications for Hong Kong government funding schemes, including but not limited to:<ul><li>Research Talent Hub (RTH)</li><li>Innovation &amp; Technology related funding</li><li>Other innovation, R&amp;D, and university research collaborative programs</li></ul></li><li>Help draft and organize application materials, including project descriptions, budgets, timelines, and justifications. 2. Deliverables &amp; Compliance Management</li></ul><ul><li>Track and manage funding deliverables, milestones, and reporting requirements.</li><li>Assist in preparing:<ul><li>Progress reports</li><li>Final reports</li><li>Supporting documents (invoices, payroll records, timesheets, etc.)</li></ul></li><li>Ensure documentation aligns with government compliance and audit requirements 3. Project Coordination &amp; Milestone Meetings</li></ul><ul><li>Coordinate milestone meetings with funding bodies, universities, and internal teams.</li><li>Prepare meeting agendas, presentation materials, and follow-up action items.</li><li>Maintain clear records of project progress and decisions. 4. Cross-Functional Support</li></ul><ul><li>Work with technical, product, and business teams to:<ul><li>Collect technical inputs for reports</li><li>Translate technical progress into clear, structured documentation</li></ul></li><li>Support ad-hoc strategic and innovation initiatives as Moon Lab scales.</li></ul>

Where Talent Meets Opportunity