HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

Career Fair 2026: REIMAGINE AI+

Summer Internship 2026

Role DescriptionAs a Full Stack &amp; AI Development Engineer, you will join our dynamic R&amp;D team to design, build, test, and optimize our core web/app platforms and proprietary AI algorithms. The role spans web &amp; app front-end, high-performance backend logic, and AI-driven recommendation/routing modules, depending on your skill focus. You will be instrumental in turning our innovative patents into scalable, real-world consumer products.Key Responsibilities<ul><li>Platform Development: Spearhead the building, upgrading, and maintaining of the company's multi-domain portals and cross-platform WebApps.</li><li>UI/UX Implementation: Collaborate closely with the design team to convert wireframes into responsive, high-performance, and pixel-perfect interactive pages.</li><li>AI &amp; Feature Integration: Implement interactive features for user onboarding, multi-turn dialogue interfaces, and automated service dispatching.</li><li>Algorithm R&amp;D (If applicable): Support core algorithm research, optimization, and integration, including task profiling, intelligent service matching, and digital personalization models.</li><li>Engineering Excellence: Participate in team sprints, rigorous software performance testing, debugging, and Git-based version control to ensure system reliability and low latency.</li></ul>Qualifications &amp; RequirementsCore Technical Skills:<ul><li>Front-end Mastery: Proficiency in modern front-end frameworks, with a strong preference for Next.js or React.js(to support SEO/GEO rendering).</li><li>Backend &amp; API Design: Solid understanding of backend logic and RESTful API development using Node.js (NestJS/Express) or Python (FastAPI/Flask).</li><li>Database Management: Familiarity with database design and query optimization (e.g., PostgreSQL, MySQL, or MongoDB).</li></ul>AI &amp; Bonus Capabilities (Highly Valued):<ul><li>AI/LLM Stack: Hands-on experience or deep interest in AI/NLP/LLM tools (e.g., LangChain, OpenAI API, LlamaIndex, or Vector Databases).</li><li>Algorithm Background: Knowledge of Machine Learning frameworks and data analysis is a strong asset.</li></ul>Education &amp; Soft Skills:<ul><li>Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.</li><li>Mindset: Strong problem-solving skills, analytical thinking, and the adaptability required to thrive in a fast-paced, agile startup environment.</li><li>Language: Proficiency in English and Mandarin, with Cantonese being a valuable asset for cross-border collaboration.</li></ul>

Full Stack & AI Development Engineer (Web/App/Algorithm Track)

To research and assist in developing the AI software that analyzes camera video and weight-scale data from a smart litter box, turning raw data into accurate health notifications for pet owners. Overall Duties and ResponsibilitiesConducting different research to assist in developing the smart cat litter box.<ul><li aria-level="1">Waste identification research: research and train AI models to accurately read a litter box image/videos and separate the stool, urine clumps and clean litter, even when they overlap.</li><li aria-level="1">Cat behaviour analysis: conducting research on tracking the cat’s posture and time spent in the box to tell the difference between normal toileting habits and signs of health issues, such as constipation.</li><li aria-level="1">Multi-cat recognition: Researching visual pattern matching (eg. fur colors) combined with weight profiles to correctly identify which cat is using the litter box in owners who have multiple pets.</li><li aria-level="1">Weight data &amp; video syncing: Research and develop mathematical methods to sync camera video timestamps with real-time weight sensor data streams to accurately capture and measure elimination events.</li></ul>

Veterinary AI & Multi-Sensor Research Specialist

Role DescriptionThe UI/UX Designer will work closely with cross-functional teams to create intuitive and visually engaging user interfaces. Daily responsibilities include building presentation decks, developing user-focused designs, creating wireframes and mockups, refining designs based on user feedback, and collaborating with developers to ensure seamless implementation. The role involves a balance of creativity, technical skill, and a user-oriented mindset.Qualifications<ul><li>Strong skills in Visual Design, Creative Design, and User Interface Design</li><li>Proficiency in creating Mockups and wireframes</li><li>Experience in User Experience (UX) including user research and usability testing</li><li>Basic knowledge or experience in Front-End Development</li><li>Proficient in design tools - Figma, Adobe</li><li>Proficient in AI prototyping tools</li><li>Excellent communication and teamwork abilities</li><li>Bachelor’s degree in Design, Human-Computer Interaction, or a related field</li><li>Experience in multimedia design, animation, graphic design is a plus</li></ul>

UIUX Designer

Responsibilities 1. Develop and maintain embedded software for intelligent controllers based on STM32, NXP, Infineon, and other MCUs. 2. Implement low-level drivers, peripheral interface drivers (CAN, UART, SPI, 12C, PWM, etc.), and application logic. 3. Participate in hardware solution selection and software-hardware integration; collaborate with hardware engineers on board debugging and validation. 4. Develop and maintain Linux kernel drivers when required. 5. Write software design documents, test reports, and related technical documentation. 6. Resolve software issues encountered during testing and production. Qualifications 1. Bachelor's degree or higher in Electronics, Communications, Computer Science, Automation, or related fields, with at least 3 years of experience in embedded software development. 2. Proficient in STM32 MCU development, familiar with HAL/Standard peripheral libraries, and experienced with Keil MDK, STM32CubeMX, and other development tools. 3. Familiar with common peripheral interfaces: CAN, UART, SPI, 12C, PWM, ADC, USB, etc., with hands-on driver development experience. 4. Proficient in C/C++ programming with good coding standards and practices. 5. Experience with RTOS (FreeRTOS, RT-Thread, uCOS, etc.) in real-world projects. 6. Experience with NXP (e.g., i.MX RT, LPC series) or Infineon (e.g., Tricore, AURIX series) MCUs is a strong plus. 7. Experience with Linux kernel driver development (e.g., character device drivers, device tree, interrupt handling) is a strong plus. 8. Familiar with version control tools (Git/SVN) and a good team player. 9. Experience in construction machinery, automotive electronics, or robotics is a plus.

Embedded Software Engineer

KEY RESPONSIBILITIES AI Agent Development &amp; Multi-Agent Systems<ul><li>Design and implement Multi-Agent architectures including agent lifecycle management, task decomposition, inter-agent communication, and tool orchestration.</li><li>Develop agent frameworks supporting LLM-based reasoning, planning, and autonomous decision-making for enterprise workflows.</li><li>Build and maintain tool-calling ecosystems compatible with MCP (Model Context Protocol) and other agent interaction standards.</li><li>Implement agent memory systems, context management, and long-term state persistence for complex multi-turn interactions. Large Model Training &amp; Fine-Tuning </li><li>Participate in large language model (LLM) pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF) pipelines.</li><li>Develop and optimize model training infrastructure including distributed training, gradient checkpointing, and mixed-precision computation.</li><li>Design evaluation frameworks for model quality assessment, benchmarking, and continuous improvement.</li><li>Research and implement model compression, quantization, and deployment optimization techniques for production environments. Deep Learning Algorithm Development</li><li>Research and develop deep learning models for natural language processing, computer vision, and multi-modal understanding tasks.</li><li>Design and implement neural network architectures including transformers, CNNs, and hybrid models for domain-specific applications.</li><li>Optimize model inference performance through techniques such as knowledge distillation, pruning, and hardware-aware compilation.</li><li>Stay current with the latest research in deep learning and translate cutting-edge papers into production-ready implementations. Platform Engineering &amp; System Architecture</li><li>Architect scalable backend systems supporting high-concurrency AI service delivery with REST/WebSocket protocols.</li><li>Design enterprise multi-tenant isolation mechanisms ensuring data security and compliance for B-end deployments.</li><li>Build RAG (Retrieval-Augmented Generation) pipelines including document processing, vector indexing, embedding optimization, and hybrid retrieval.</li><li>Develop cross-platform solutions supporting Linux, Windows, and cloud-native environments with native performance optimization.</li></ul>REQUIRED QUALIFICATIONSEducation<ul><li>Master's degree or higher in Computer Science, Applied Mathematics, Artificial Intelligence, Software Engineering, or a related quantitative field.</li></ul>Core Technical Skills<ul><li>8+ years of professional software development experience with strong proficiency in C/C++ and Python.</li></ul>AI Agent Development<ul><li>Hands-on experience building AI Agent systems, Multi-Agent frameworks, or LLM orchestration platforms.</li><li>Practical knowledge of agent design patterns including ReAct, planning, tool use, and multi-agent collaboration.</li><li>Experience with RAG systems: document parsing, chunking strategies, vector databases, embedding models, and retrieval optimization.</li><li>Familiarity with MCP (Model Context Protocol) or similar tool-calling standards for AI agents.</li></ul>Large Model Training<ul><li>Experience with large model training pipelines including SFT, RLHF, DPO, or other alignment techniques.</li><li>Proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX.</li><li>Understanding of distributed training paradigms (data parallelism, model parallelism, pipeline parallelism).</li><li>Experience with model evaluation, benchmarking, and quality assurance for LLM outputs.</li></ul>Deep Learning Knowledge<ul><li>Strong theoretical foundation in deep learning including transformer architectures, attention mechanisms, and optimization algorithms.</li><li>Experience training and deploying neural networks for NLP, computer vision, or multi-modal tasks.</li><li>Understanding of model compression techniques: quantization, pruning, knowledge distillation, and neural architecture search.</li></ul>Soft Skills<ul><li>Strong architectural thinking with the ability to design scalable, maintainable systems from the ground up.</li><li>Excellent problem-solving skills and a proven track record of delivering production-grade software.</li><li>Effective communication skills with the ability to collaborate across engineering, research, and business teams.</li><li>Self-motivated with a passion for pushing the boundaries of AI technology.</li></ul>PREFERRED QUALIFICATIONS<ol><li>Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).</li><li>Prior work on enterprise SaaS or B-end platform products with multi-tenant architecture.</li><li>Contributions to open-source AI/ML projects or active participation in the developer community.</li><li>Experience with vector databases (Milvus, Pinecone, Weaviate) and embedding model fine-tuning.</li><li>Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for AI service deployment.</li></ol>

Senior Software Development Engineer

Monthly salary: HK100,000toHK150,000Responsibilities<ol><li>Build and operate global academic collaboration networks, establishing strategic partnerships with top universities and research institutions, and expanding diverse cooperation models including joint research and talent co-development</li><li>Plan and execute high-profile academic events, including international symposiums, academic forums, and challenge competitions, enhancing corporate influence and brand recognition in academia</li><li>Identify frontier technology trends and academic talent resources, establish domain expert databases and research tracking systems, and provide intelligence support for corporate strategic decision-making</li><li>Drive industry-university-research project implementation, coordinating internal business needs with external research resources to facilitate technology licensing, joint laboratories, and technology commercialization partnerships</li><li>Manage academic collaboration budgets and performance evaluation systems, produce partnership value analysis reports, and continuously optimize ecosystem collaboration strategies and resource allocation efficiency</li></ol>Requirements<ol><li>Master's degree or above; preferred fields include Computer Science, Artificial Intelligence, Science and Technology Policy, or Management</li><li>Minimum 3 years of experience in academic institutions, technology enterprises, or consulting firms; familiar with university research operations and industry-university-research collaboration models</li><li>Excellent cross-cultural communication and English business negotiation skills; capable of fluently hosting international academic conferences and business discussions</li><li>Extensive academic network resources with active connections to renowned domestic and international universities and research institutes; proven ability to rapidly build trusted relationships</li><li>Outstanding project coordination and data analysis capabilities; able to simultaneously advance multiple complex projects with keen insight into technology trends and commercialization awareness</li></ol>

Academic Collaboration Ecosystem Expert

Job Description: -Conduct theoretical research on machine vision algorithms and integrate them into specific application scenarios, driving the productization of algorithms.-Develop and improve fundamental algorithms in computer vision and deep learning to enhance performance. -Implement application development for video and image feature extraction, processing, and analysis. -Promote the application and performance optimization of computer vision algorithms and deep learning technologies across various real-world domains. Position Requirements: -Master’s degree or above in industrial Intelligent System a related fields. 8+ years of relevant experience.-Strong proficiency in fundamental methods of machine learning (especially deep learning) and computer vision.-Proficient in C/C++ programming, with working knowledge of Shell, Python, or MATLAB scripting.-Experienced in using deep learning frameworks such as OpenCV, TensorFlow, Caffe, and PyTorch.-Familiar with Linux operating systems and development environments.-Experience in Semiconductor, Microelectronics or similar industry is preferred.

Algorithm Engineer

iGo Tech Private Limited is looking for an Electronics / IoT Hardware Engineer to support the development of our AI and IoT-based solutions for smart environments, safety monitoring, and intelligent infrastructure.The role is suitable for candidates with experience or strong interest in electronics, IoT devices, robotics, sensors, hardware prototyping, embedded systems, and product testing. The selected candidate will work closely with the founder, technical team, and project partners to develop practical hardware solutions for real pilot projects and commercial deployments.Our solutions include smart greenery and environmental monitoring systems, emergency connectivity devices for weak-signal environments, and ageing-at-home safety technologies. The role will involve hands-on work on sensors, controllers, gateways, device integration, testing, and improvement of hardware prototypes.

Electronics / IoT Hardware Engineer

Responsibilities<ul><li>Devlop and design RTL peripheral module for FPGA-based sorting prototype, or</li><li>Devlop ARM-based embeded network and data communication modules, or</li><li>Devlop and design ARM-based embeded network and data communication modules, or data visualizing modules.</li><li>Support the R&amp;D team by contributing to assigned tasks and project objectives.</li></ul>Qualifications<ul><li>Currently pursuing or recently completed a Bachelor’s or Master's degree in Engineering, Computer Science, or a related STEM field.</li><li>Solid understanding of core STEM principles (Science, Technology, Engineering, Mathematics).</li><li>Hands-on experience with Website page design, technical documenting, microprocessors, mechanical design, or electrical prototyping is preferred.</li><li>Strong research, analytical, and problem-solving abilities.</li><li>Good communication skills and a collaborative, team-oriented attitude.</li><li>Familiarity with programming languages such as Python is an advantage.</li><li>Interest in technology innovation and its application to meaningful projects.</li><li>Previous internship or project experience in a related field is a plus. </li></ul>Contact Us If you are eager to contribute to cutting-edge innovation in computing and IC design, and wish to work on projects with real-world impact, we encourage you to apply! Come be part of our dynamic team at the Hong Kong Science Park. Please submit your cover letter, resume, and academic transcripts to cujack@gmail.com

R&D Assistant (Student Internship Program)

13-month pay

5-day week

Additional subsidies

Alternate saturday

Childcare

Competitive pay

Dental plan

Discretionary bonus

Education subsidies

Flexible working hours

General holidays

Gratuity

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Home office

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Maternity leave

Meal allowance

Medical plan

Paid overtime

Paternity leave

Performance bonus

PRC holidays

Relocation Expenses

Shuttle bus

Social & recreation facility

Special / extra leave

Staff care centre

Statutory holidays

Stock option

Transportation allowance

Travel allowance

Year-end bonus

AI in Action Career Day 2025

Global Talent Ignite

HYAB Youth Start-up Internship Programme (YSIP)  2026

HKSTP Career Fair 2026: AI+ Reimagined

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