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

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

“AI for All” Inclusive Programme - Talent Foundry

Computer Vision EngineerWe are looking for a Computer Vision Engineer to use synthetic data from our platform to improve real-world computer vision for smart-city applications. You will design and run controlled experiments on when synthetic data helps, and how training methods and model components can narrow the gap between rendered scenes and real sensors.This is a hands-on research role for someone who enjoys experimental machine learning, careful baselines, and turning model failures into specific requirements for how synthetic scenes should be generated.What You’ll Work On<ul><li>Build reproducible training and evaluation pipelines, and establish real-only, synthetic-only, and mixed-data baselines.</li><li>Characterise the synthetic-to-real gap by varying environment conditions, and rare-event frequency.</li><li>Compare data ratios, real-label budgets, and targeted corner cases against real-only training and naïve pooling.</li><li>Investigate synthetic data adaptation methods to improve models’ performance.</li><li>Study pretraining approach that leverages synthetic data.</li><li>Evaluate computer vision models, including repeated runs on ordinary and challenging conditions.</li><li>Analyze errors and document the work in experiment records and technical reports.</li></ul>What We’re Looking For<ul><li>A background in computing, data analytics, computer vision, or machine learning, with hands-on experience training models.</li><li>Ability to implement and compare training and evaluation pipelines for object detection, stereo vision, or a closely related perception task.</li><li>Care with experimental controls, including dataset splits, matched model capacity, compute budgets, and repeated training runs.</li><li>Comfort reading current research, selecting baselines, and interpreting negative transfer rather than only pursuing a higher score.</li><li>Familiarity with quantitative evaluation across ordinary conditions and difficult cases such as weather, occlusion, scale, and rare events.</li><li>Interest in synthetic data, domain adaptation, and how rendered 3D scenes are used to train real-world AI.</li><li>Clear writing for experiment records, ablation reports, and recommendations that a data-generation team can act on.</li><li>Comfort working in an early-stage R&amp;D environment where the data recipe and model design change as evidence accumulates.</li></ul>Nice to Have<ul><li>Project, internship, or work experience in computer vision, deep learning, or applied AI.</li><li>Familiarity with domain randomisation, domain adaptation, representation learning, or training with limited labelled data.</li><li>Experience with depth, disparity, stereo correspondence, or multi-view geometry.</li><li>Experience training on both synthetic and real images and diagnosing why a model fails to transfer.</li></ul>

Computer Vision Engineer

We are seeking a talented and motivated AI Engineer to design, develop, and deploy state-of-the-art AI models and systems. You will collaborate with cross-functional teams to solve complex problems, drive AI initiatives, and contribute to the full AI development lifecycle—from research to production. Key Responsibilities<ul><li>Design, develop, and implement machine learning and deep learning models for various applications.</li><li>Collaborate with data scientists and software engineers to integrate AI models into production systems.</li><li>Optimize model performance, scalability, and efficiency for real-world deployment.</li><li>Conduct data preprocessing, feature engineering, and analysis to support model development.</li><li>Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges.</li><li>Participate in code reviews, documentation, and knowledge sharing within the team.</li><li>Work with large datasets and ensure data quality and integrity.</li><li>Deploy and monitor AI models using cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure.</li><li>Contribute to the development of AI pipelines, tools, and frameworks.</li></ul> Qualifications Required:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.</li><li>Family with n8n, langchain, agentic AI experience.</li><li>Knowledge in AI/ML model development and deployment.</li><li>Proficiency in programming languages such as Python, R, or Java.</li><li>Strong experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and NLP/computer vision (as applicable).</li><li>Knowledge with data processing tools (e.g., Pandas, NumPy, SQL).</li><li>Familiarity with cloud platforms (AWS SageMaker, Google AI Platform, Azure ML) and containerization (Docker, Kubernetes).</li><li>Strong problem-solving skills and ability to work independently or in a team.</li></ul> Preferred: <ul><li>Knowledge with MLOps tools (MLflow, Kubeflow, etc.).</li><li>Knowledge of distributed computing and big data technologies (Spark, Hadoop).</li><li>Publications or contributions to open-source AI/ML projects.</li><li>Knowledge in [specific industry, e.g., healthcare, fintech, autonomous systems]</li><li>Understand and translate the client need into AI set up (With Knowledge in AI Setting)</li></ul> What We Offer<ul><li>Competitive salary and performance-based bonuses.</li><li>Opportunities for professional growth and continuous learning.</li><li>Collaborative and inclusive work culture.</li><li>Access to cutting-edge tools and technologies.</li></ul>

AI Engineer

職位概述本職位在香港從事實體資產數字化場景下的量化模型研發，重點研究交易稀疏及資產差異下的估值、成交概率與流動性風險定價。研究人才將在技術導師指導下，參與數學建模、算法實現、數值實驗、樣本外驗證及研發原型開發。主要職責<ol><li> 研發商品及收藏品的量化估值模型，研究分層回歸、參數估計與價格預測區間。</li><li> 研發成交時間及流動性測度方法，處理成交、未成交及撤售等不同觀察情形。</li><li> 研究成交價格與出售概率的聯合估計算法，建立期限相關的淨處置價格與風險折價模型。</li><li> 設計對照實驗、滾動回測及壓力測試，量化改良模型相對現有方法的性能與適用邊界。</li><li> 使用Python等工具實現模型與數值實驗，開發估值及定價研究原型，驗證計算穩定性與推論效率。</li><li> 編製模型規格、實驗記錄及技術報告，與團隊共同評審研發結果並改進算法。</li></ol>

量化估值與定價模型研發研究員

We are seeking a Blockchain Researcher to develop a tokenisation platform for insurance premium financing. The project will use distributed ledger technology and smart contracts to digitise financing agreements, automate premium disbursement and repayment, and improve transaction transparency and reconciliation. It is a new 3-year R&amp;D project, funded under the Innovation and Technology Fund (ITF) Research Talent Hub (RTH-SPC).Key Responsibilities<ul><li>Research tokenisation models for premium financing agreements and related cash-flow rights.</li><li>Design smart contracts for token issuance, premium payment, repayment schedules, interest calculation, and redemption.</li><li>Develop APIs to integrate blockchain workflows with insurance, payment, and accounting systems.</li><li>Implement privacy, access-control, audit-trail, and transaction-monitoring mechanisms.</li><li>Build prototypes and test cases covering cancellations, early repayment, missed payments, refinancing, and exceptions.</li><li>Evaluate alternative blockchain architectures, token standards, and settlement mechanisms.</li><li>Document research findings, technical specifications, risks, limitations, and test results.</li><li>Present prototypes and findings to management and business stakeholders.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in Computer Science, Financial Technology, Finance, Information Systems, or a related discipline.</li><li>Understanding of blockchain, digital assets, distributed ledger technology, and smart contracts.</li><li>Programming experience in Solidity, JavaScript, TypeScript, Python, or Java.</li><li>Knowledge of token standards, APIs, wallet integration, and smart-contract security.</li><li>Experience in insurance, lending, premium financing, or financial services is an advantage.</li><li>Strong analytical, problem-solving, and documentation skills.</li><li>Hong Kong permanent resident or holder of a valid visa permitting full-time employment in Hong Kong.</li></ul>Engagement Terms<ul><li>Position: Blockchain Research Engineer (Tokenisation of Insurance Premium Financing)</li><li>Salary: HK$20,000 - 25,000 per month</li><li>Work Mode: Full-time</li></ul>How to ApplyPlease send your CV and a short cover letter to rex.tsang@finbot.hk with the subject line “Application — Blockchain Researcher”.

Blockchain Researcher

OMR Model Accuracy Achievement<ul><li>Improve and benchmark OMR scanning accuracy from the current 63% baseline toward the 98%+ target across printed, photographed, and handwritten scores, maintaining a labelled test corpus and tracking per-symbol accuracy regressions on every model update.</li><li>Develop and tune the 3-Level Confidence Routing system (high ≥0.9 / mid / low &lt;0.5), calibrating the per-symbol sigmoid confidence layer so 70–80% of high-confidence symbols are auto-accepted at zero cost, and validating that thresholds remain configurable by score type (printed/handwritten/photo).</li><li>Optimize the fine-tuned MLLM verification stage, refining the “Verify (Is this X?)” and “Identify (What is this?)” dual-prompt templates and music-domain context injection to maximize correction accuracy on mid- and low-confidence glyphs while keeping AI cost reduction at the 60–80% target.</li><li>Enhance the Music Structure Reasoning layer — barline/measure segmentation, voice assignment, slur/tie association, and duration-integrity validation — so the engine produces logically consistent MusicXML beyond flat symbol enumeration, including Orphan Glyph Recovery for missing symbols.</li><li>Build and maintain the image pre-processing pipeline (Laplacian blur/contrast quality check, DL dewarping via the CNN encoder-decoder, context-aware cropping with clef/key/time-sig injection) and measure its contribution to end-to-end per-page latency (&lt;6s target).</li><li>Lead the MuspalOMR Transformer migration, preparing the 3-level training datasets (MSD clean / CMSD-P photo / CMSD-S screen capture), implementing the multi-branch output heads (rhythm, pitch, accidental, symbol, confidence) and cross-branch consistency loss, and benchmarking the end-to-end model against the traditional pipeline.</li></ul>

App Engineer

<ol><li>Assist in the design and production of promotional materials such as brochures, posters, flyers, and presentation slides.</li><li>Be responsible for layout design, typesetting, and visual optimization of related materials.</li><li>Work closely with the team to support the company’s graphic design needs for marketing and promotion.</li></ol>

Design Intern

Position Overview Participate in the full lifecycle management of innovative AI products, independently validate ideas with AI-assisted coding, and explore productization of world models and related frontier technologies. Key Responsibilities - End-to-End Core Product Work: Participate in the full lifecycle management of innovative AI products, covering the complete daily workflow of a product manager including user demand research, competitor and industry analysis, product planning, functional logic design, prototype delivery, project schedule follow-up, post-launch data review, and iterative optimization. - Vibe Coding Product Implementation: Based on product concepts and user needs, proficiently use AI-assisted programming tools to independently build and rapidly iterate MVPs for small products, functional prototypes, productivity tools, and creative demos. Verify the feasibility of product ideas independently without relying on professional R&amp;D teams, and translate product intuition into interactive tangible products. - Cutting-Edge Exploration of World Models: Continuously track cutting-edge technological trends such as world models, embodied intelligence, multimodal physical simulation, and AGI. Regularly produce industry insights and productization thinking, participate in scenario design, creative conception, and implementation verification of related products, and explore paths for the commercialization and user value realization of frontier technologies. - User &amp; Data Operations: Monitor core data metrics post product launch, analyze user behavior and feedback, uncover real user needs, and develop actionable product experience optimization plans. - Cross-Team Collaboration: Collaborate efficiently with R&amp;D, design, operations, and algorithmteams to drive the implementation of product requirements, ensure on-time and high-quality project delivery, and synchronize project progress and risks. Qualifications &amp; Requirements Required Qualifications - Based in Hong Kong or Shenzhen; on-site at least 3 days per week - Internship of at least 3 months; longer availability preferred What We Offer -Work on frontier video generation products and ship real impact - Competitive internship stipend - Mentorship from product, research, and GTM teams - On-site in Hong Kong (at least 3 days per week) - Path to full-time conversion for outstanding interns

AIGC Product Manager Intern

<ol><li>Bachelor’s degree or above in Automation, Robotics, Mechatronics, Computer Science or related fields, with 3–5 years hands-on experience in robotics system development. Experience on interactive / embodied robot projects is preferred.</li><li>Solid engineering experience on multi-sensor integration, calibration and sensor fusion. Familiar with ROS/ROS2, robot kinematics and full system integration.</li><li>Capable of decomposing system requirements independently, troubleshooting hardware-software coupled issues, and writing high-quality engineering documents.</li><li>Basic knowledge of embedded systems, communication interfaces and real-time systems; strong cross-team collaboration skills.</li></ol>

Robot System Engineer

Position Overview Support the General Manager in overseeing technical projects and coordinating cross-functional activities. Provide technical support in epitaxial growth, chip fabrication, and device development, ensuring that technical priorities and project execution align with company objectives.Key Responsibilities<ol><li>Project Tracking and Execution Track project objectives, milestones, schedules, and deliverables. Identify risks, delays, and resource needs, and coordinate follow-up actions to resolve issues.</li><li>Technical Analysis and Support Provide technical support in epitaxial growth, chip fabrication processes, and device performance. Review experimental and test results, help identify root causes, evaluate improvement proposals, and track validation results.</li><li>Cross-Functional Coordination Conduct structured project discussions with relevant departments to review technical progress, dependencies, and coordination needs. Establish clear action items, owners, and completion dates.</li><li>Reporting and Decision Support Consolidate project updates, key technical issues, and matters requiring management decisions. Prepare regular reports that provide the General Manager with clear and accurate information for decision-making.</li><li>Meeting and Action Management Coordinate technical and project review meetings, document conclusions, and follow up on action items to ensure effective implementation.</li></ol>Candidate Qualifications<ul><li>Degree in semiconductor engineering, materials science, optoelectronics, electrical engineering, or a related field; a master’s degree or higher is preferred.</li><li>Knowledge of compound semiconductor epitaxy, chip fabrication, and device characteristics. Experience in LED, MicroLED, or related optoelectronic device development is preferred.</li><li>Strong technical project management, cross-functional coordination, and problem-solving skills.</li><li>Ability to independently analyze technical information and clearly communicate project progress, risks, and recommendations.</li><li>Strong communication and presentation skills in English and Chinese, with the ability to work effectively across multidisciplinary teams.</li></ul>

Assistant to the General Manager — Technology & Project Management

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

Guaranteed bonus

Home office

Housing allowance

Insurance plan

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

Below F.5

F.5 - F.7 or DSE

Diploma / Certificate

Associate Degree

Bachelor Degree

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Doctorate or above

Not applicable

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Where Talent Meets Opportunity