Summer Internship 2026 Open for Application

香港科技园 2025 大湾区秋季人才交流会

Talent Foundry

EPIC 2025

Innovation Mixer计划

Key tasks Research and develop out of each core technology applicable solutions for the specific requirements and integration in outdoor usage to provide (online and offline) precise location, safety tracking, navigation and orientation guidance and performance data for the user of our platform. The specific tasks are - Build a geofencing mapping solution (online and offline) to provide safety status - Provide turn-by-turn navigation instructions on given courses - Integration of RFID for precise timing at critical locations - Provide deep data information to be used for machine learning and performance analytics Outcomes High-quality mobile App/Web/platform solutions (stability, usability, functionality) System and architecture documentation Knowledge - Geofencing and GPS technology - BLE and IoT Beacon technology - RFID technology - iOS and android OS mobile development, ideally with location based and geofencing knowledge. Competencies - Being systematic and structured - Capable to describe situations in detail - Good in observation - Self-driven and curious - Navigation on maps in outdoor Experiences - Agile software development / UI/UX – user journeys - Small-medium sized project management - Vendor and partner management, e.g., working with universities, SW suppliers. IT-Skills - Mobile App / Web development – ideally in wordpress - Development in VUE framework, Swift, Kotlin, ReactJS, NodeJS - AWS cloud services (e.g., EC2, S3, ..) - Usage of GitLab - Mapbox The extra mile in outdoor - Outdoor passionate Other requirements - Bachelor’s or master’s degree (MANDATORY) – related to Science, Technology, Engineering and Mathematics - Good English - Flexible work arrangements

R&D Software Engineer (full-time)

<ul><li>Conduct advanced research involving statistical analysis, mathematical modeling, and quantitative validation of health-related photo data (such as stools, joints, and bones) collected via the AI Health Scanner to ensure accurate and reliable detection of animal health issues.</li><li>Develop protocols for collecting and analyzing stool images and corresponding health reports from pet owners, collaborating with veterinary experts for validation.</li><li>Conduct rigorous investigations to explore new diagnostic possibilities for the AI Health Scanner, including the analysis of eyes, bones, and other critical anatomical features.</li><li>Integrate research findings into the development and continuous enhancement of the AI Health Scanner, pushing the boundaries of scientific and technical knowledge in veterinary AI applications.</li><li>Develop educational tools, including gamified Q&amp;A systems and interactive chatbots, to promote animal welfare and enhance user engagement.</li></ul>

Veterinary AI Research and Development Specialist

Position: Marketing Intern Location: Hong Kong Science Park Duration: 3-6 months (starting March 2026)Deadline: Jan 13, 2026Passionate about marketing and tech? Join InnovateTech Startups, a growing startup in computer vision AI technology. We create smart visual tools for security and healthcare. Join us to gain hands-on experience in a dynamic environment where creativity meets technology. Help us grow by reaching out to partners, designing ads, and running promotions!Your Role:<ul><li>B2B Outreach: Connect with companies, pitch our AI image recognition solutions, and build partnerships.</li><li>Design Work: Design posters, PPTs, and videos that showcase our tech.</li><li>Market Support: Conduct market analysis to refine our strategies, edit promo videos, and plan campaigns.</li></ul>Who Fits:<ul><li>Studying Business, Marketing, Design, or a related field.</li><li>Skills: Strong communication skills in English and Chinese (Cantonese or Mandarin); Microsoft Office, Canva, video editing.</li><li>Experience: Hands-on projects in company analysis is a plus.</li><li>Traits: Reliable, organized team player with strong communication.</li></ul>Why Join Us?<ul><li>Real responsibility and impact from day one.</li><li>Mentorship from experienced marketing and tech professionals.</li><li>Opportunity to build a portfolio with real-world marketing and design projects.</li></ul>Apply: Please send your resume and a brief portfolio or examples of design work (if available) to kitlam@alphavision.tech, with the subject line: "Marketing Intern"!We look forward to seeing how your skills and enthusiasm can help us grow!

Marketing Intern

1.Data Engineering and Preparation; Conduct data collection, cleaning, and feature engineering; Establish data pipelines and ensure data quality and governance compliance2.Model Development and Validation; Research, prototype, and implement machine learning and deep learning models; Customize off-the-shelf or open-source AI tools (e.g. Azure ML, Hugging Face, Watsonx, Dify) for business needs; Perform rigorous validation, hyperparameter tuning, and bias/error analysis; Integration and Deployment; Collaborate with IT teams to containerize models, build APIs, and integrate AI services into the company’s technology stack, adhering to CI/CD best practices3.Performance Monitoring and Optimization; Implement monitoring frameworks to track model performance, drift, and resource utilization; Continuously refine models to maintain accuracy, efficiency, and compliance with governance policies4.Knowledge Sharing and Support; Create technical documentation, run workshops, and support internal teams in understanding and leveraging AI tools; Contribute to the development of AI standards and playbooks

Developer, Software and Al Solutions

Responsibilities The ideal candidate for this position will actively engage in designing various technologies and innovations to support digital media and marketing initiatives.Responsibilities will encompass:<ol><li>Designing software, including Retrieval-Augmented Generation (RAG), to execute promotional activities and marketing campaigns aimed at enhancing the visibility of the company's products. Overseeing and curating content for the company's social media profiles</li><li>Using data analytics to achieve insightful feedback and recommendations to the research and development team regarding product enhancements, informed by market response.</li><li>Analyse campaign performance data to refine marketing strategies and improve future outcomes.</li><li>Develop algorithm to engage with the customer base to gather detailed feedback and foster a community around our brand.</li></ol>Skill Requirements <ol><li>A STEM student with a passion for applying the latest technology to modern digital marketing.</li><li>The ideal candidate is currently pursuing studies in STEM disciplines. Formal training in marketing is not essential for this role, as many marketing skills and mindsets will be gained through hands-on experience in this position. </li><li>Having a passion for machine learning and artificial intelligence products.</li><li>A good team player. </li><li>Possess the ability to work autonomously, demonstrate creativity, and show self-motivation with the capacity to adhere to timeline.</li><li>At least 16 hours per week with flexible working time and arrangement.</li></ol>Additional benefits 1) Attractive Compensation: Our internship program offers a competitive salary that is commensurate with the individual's level of experience.2) Machine Learning Education: Interns will receive cutting-edge training in machine learning, personally delivered by the founder, who is globally recognized for expertise in disseminating knowledge in this field. For example, here is his free and continuously updated machine learning notes:<ul><li>(English) https://github.com/roboticcam/machine-learning-notes</li><li>(Chinese) https://www.zhihu.com/column/c_1762978335020597248</li></ul>Although candidates may have varying levels of prior knowledge in machine learning, the founder will offer one-on-one fundamental AI training tailored to each individual's needs to accommodate their understanding.3) Entrepreneurial Experience: Interns will acquire a broad and in-depth understanding of start-up dynamics and entrepreneurial activities, providing a holistic immersion into the high-tech start-up world.4) Global perspective: Our company prides itself on fostering a friendly and culturally diverse environment. Interns will be gaining experience from an international perspective.Application <ul><li>Interested parties may submit full resume including expected remuneration through email to general@tadreamk.com.</li></ul>

AI and Data Innovation for Digital Media Internship

Soqqle is seeking a dedicated Project Assistant Intern to join our team. This role will involve providing administrative and project coordination support, while also assisting with research tasks to ensure the successful execution of our metaverse learning app initiatives.<ul><li>Assist in coordinating day-to-day project tasks and operations.</li><li>Maintain and update project documentation, including progress reports, meeting notes, and timelines.</li><li>Analyze data and summarize findings to support ongoing projects.</li></ul>Qualifications:<ul><li>Strong project coordination and organizational skills.</li><li>Experience in providing administrative support and managing project timelines.</li><li>Strong multitasking skills and the ability to prioritize tasks effectively.</li><li>Interest in or experience within the digital education or edtech industry is a plus.</li><li>Bachelor’s degree in Marketing, Project Management, Business, Computing or a related field.</li></ul>

Project Assistant Intern

Role summary We are looking for a pragmatic engineer who builds production-grade autonomous AI agent systems powered by large language models. You will design, implement, and ship agent architectures and tooling that combine LLMs, external tools, and retrieval systems — while driving product decisions, prioritizing user value, and continuously tracking mainstream agent application trends and research to keep our platform competitive. Key responsibilities 1. Architect and implement agent frameworks that orchestrate LLMs, tool invocation, multi-step planning, memory, and retrieval. 2. Build reliable integrations to third-party tools and APIs (search, knowledge bases, task automation, SaaS endpoints), and design safe sandboxing for tool execution. 3. Lead prompt engineering, chain-of-thought strategies, and system prompts that improve agent fidelity, controllability, and cost-efficiency. 4. Design evaluation pipelines and metrics for agents (task success, hallucination rate, latency, user satisfaction) and run continuous A/B tests and benchmark suites. 5. Collaborate closely with product managers, UX researchers, and designers to translate user requirements into agent capabilities and prioritized roadmaps. 6. Monitor the ecosystem: track major open-source projects, commercial agent products, and academic advances; synthesize findings and recommend adoption or defensive strategies. 7. Prototype new AI agent use cases and ship incremental, production-grade features with observability, logging, and rollback plans. 8. Own deployment, scaling, monitoring, and cost optimization for agent services across cloud or hybrid infra. 9. Ensure agent behavior aligns with safety, privacy, and compliance requirements; implement guardrails and escalation flows. Required qualifications 1. Master or higher in Computer Science, Engineering, or equivalent experience. 2. 5+ years professional software engineering experience, with 2+ years working directly with LLMs, agents, or conversational AI. 3. Strong Python production experience; familiarity with asynchronous programming and service design. 4. Hands-on experience integrating LLM APIs and/or open-source models and toolkits (e.g., LangChain, LlamaIndex, or similar). 5. Demonstrated product sense: experience working with product teams, translating customer problems into technical requirements, and shipping features that move metrics. 6. Track record of following and synthesizing advances in the agent/LLM ecosystem; able to present actionable recommendations to product leadership. 7. Solid understanding of retrieval (vector databases), embeddings, and information retrieval concepts. 8. Experience with containerized deployment (Docker/Kubernetes), observability (metrics/tracing/logging), and CI/CD. Preferred skills 1. Experience with RLHF, online learning, or reinforcement learning techniques for agent tuning. 2. Familiarity with multi-agent systems, planning algorithms, and task planning frameworks. 3. Knowledge of safety mechanisms for LLMs (rate limits, content filters, dynamic guardrails). 4. Background in building SDKs or developer platforms that expose agent capabilities to internal or external users. 5. Experience with cost optimization for model usage (prompt templating, response batching, model selection strategies). 6. Strong written and verbal communication; comfortable documenting tradeoffs and aligning cross-functional teams. What success looks like (first 6–12 months) 1. Deliver a baseline production agent that reliably completes targeted tasks with measurable improvements vs. manual workflows. 2. Ship at least one user-facing capability driven by agent orchestration that increases a key product metric (e.g., completion rate, task throughput, NPS). 3. Establish an internal monitoring dashboard for agent health and behavior, and a biweekly competitive/tech scan with recommended actions. 4. Create reproducible evaluation suites and an experimentation plan to iterate agent behavior safely. What We Offer 1. Competitive compensation (HK$30,000) and performance-based incentives. 2. Opportunities to work on cutting-edge technologies with real-world deployment. 3. A collaborative and high-caliber engineering team environment. 4. Working hours: Monday to Friday (excluding public holidays). 5. Expected start date: Feb. 2026 (negotiable).

Artificial Intelligence Agent Engineer

MeerSec is an award-winning cybersecurity startup supported by the HKSTP Incubation Programme and recognized by top universities for innovation in security research and AI-driven protection. We are building AI-powered tools for threat detection, brand protection, and automated security operations. Our goal is to simplify and scale threat intelligence—turning complex security data into clean, actionable insight for teams of all sizes. We're exploring areas like LLM-enhanced vulnerability triage, phishing site detection, and automated CVE tracking using RAG pipelines. What You’ll Do<ul><li>Work with frontend and RD team to implement the backend services</li><li>Create an external communcation API</li><li>Security Research</li><li>RAG</li><li>Frontend developement</li></ul>

Intern - Software Engineer(AI Security)

<ul><li>Develop AI applications for tasks within the AML context</li><li>Develop, finetune, and evaluate AI models for NLP utilities including but not limited to knowledge extraction, token-level annotation, information standardization, and etc.</li><li>Integrate NLP utilities with existing AML system and pipelines</li></ul>

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