Career Fair 2026: REIMAGINE AI+

HYAB Youth Start-up Internship Programme (YSIP)

Summer Internship 2026 Open for Application

HKSTP Global Internship 2026

Talent Foundry

Responsibilities<ol><li>Design and implement multimodal algorithmic models, including model selection for vision and language, supervised fine-tuning (SFT), and optimization.</li><li>Contribute to applying multimodal models in the agent domain; build the next-generation end-to-end multi-agent system.</li></ol>Requirements<ol><li>Master’s degree or above in Electrical Engineering, Computer Science, Mathematics, or related fields.</li><li>Familiarity with the principles and architectures of mainstream LLM/VLM/VLA/Reinforcement Learning technologies.</li><li>Experience in training, fine-tuning, or productionizing large models at various stages is a plus.</li><li>Publications in top-tier venues such as CVPR, NeurIPS, ICLR, ACM, or IEEE Transactions are preferred.</li></ol>

AI Multi-modal Algorithm Engineer

Role SummaryWe are seeking a PhD-level Research Scientist in Zero-Knowledge Cryptography to join our core R&amp;D team.This is a research-intensive role focused on the design, analysis, and optimisation of zero-knowledge proof systems and cryptographic protocols for real-world, regulated deployment.The role is purely R&amp;D-oriented, with no business or operational responsibilities.Key Responsibilities<ul><li>Conduct advanced research on zero-knowledge proof systems(e.g. zkSNARKs, zkSTARKs, PLONK, Halo2);</li><li>Analyse security assumptions and cryptographic properties of zk protocols;</li><li>Design and optimise zk circuits and constraint systemsfor complex verification logic;</li><li>Develop zk-based cryptographic protocolsenabling verifiable and privacy-preserving computation;</li><li>Research performance optimisation techniques for zk proof generation;</li><li>Produce technical documentation supporting audits and regulatory reviews.</li></ul>Requirements<ul><li>PhD degreein Cryptography, Computer Science, Mathematics, Information Security, or a related field;</li><li>Strong theoretical foundation in modern cryptography and zero-knowledge proofs;</li><li>Demonstrated research capability and technical writing skills.</li></ul>Preferred:<ul><li>Publications or open-source work in zk or cryptography;</li><li>Familiarity with blockchain or decentralised systems;</li><li>Experience with Rust, C++, Go, Python, or Solidity.</li></ul>Why Join Us<ul><li>Research-driven environment with strong emphasis on zero-knowledge cryptography;</li><li>Opportunity to apply foundational research to regulated financial systems;</li><li>Support for academic engagement and technical knowledge sharing (subject to IP policies);</li><li>Clear research-oriented career progression;</li><li>Competitive compensation commensurate with PhD-level research roles;</li><li>Potential visa sponsorship and relocation support may be provided for suitable candidates.</li></ul>

Chief Scientist-ZK

Job Overview We are seeking a Senior R&amp;D Software Engineering to play a key role in designing, developing, and optimizing mechanical systems and components for semiconductor packaging equipment. You will collaborate with cross-functional teams including electrical engineers, software developers, and manufacturing specialists to bring innovative solutions from concept to production. Key Responsibilities<ul><li>Lead architecture and code development for host software in semiconductor packaging equipment (such as die bonders, wire bonders, and pick-and-place machines).</li><li>Implement precise motion control, path planning, and real-time data collection.</li><li>Integrate machine vision, including positioning and defect detection, with motion control.</li><li>Conduct feasibility studies and validate new technologies.</li><li>Collaborate with R&amp;D, manufacturing, and quality teams for integration.</li><li>Solve complex engineering problems with innovative solutions.</li><li>Prepare technical documents and reports.</li><li>Monitor industry trends and apply best practices to development.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor’s degree or higher in Computer Science, Automation, Electronic Engineering, Mechatronics, or related fields.</li><li>5+ years of C++/C# development; 3+ years in semiconductor packaging or precision automation software. Good grasp of object-oriented programming and design patterns.</li><li>Solid understanding of motion control.</li><li>Experience with machine vision libraries (Halcon, OpenCV, VisionPro) preferred.</li><li>Excellent problem-solving and attention to detail.</li><li>SECS/GEM protocol development experience preferred.</li><li>Production machine development for packaging equipment (Die bonder/Wire bonder) is a plus.</li><li>Project management experience preferred. Strong communication and teamwork skills.</li></ul> We Offer<ul><li>Competitive Compensation: Attractive base salary, uncapped performance-based bonuses, and long-term incentives including stock options.</li><li>Opportunities for professional growth and advancement.</li><li>Work with state-of-the-art technology in a dynamic industry.</li><li>Collaborative and inclusive work culture.</li><li>Paid statutory holidays, including marriage, maternity, and paternity leave; five days of paid annual leave after one year of service.</li><li>Quarterly, mid-year, and year-end rewards based on performance and work ability, with year-end bonuses ranging from zero to six months’ salary.</li><li>Short-term training provided for operating company equipment.</li></ul>

Senior Software Engineer ( IANG Holder Is Welcome)

多模态基座模型研发：主导基于掩码生成（Masked Generative Modeling）与离散扩散 paradigm 的统一模态基础模型研究，提升模型在文本、图像及多模态数据下的生成效率与受控性 。复杂 Agent 架构设计：从 0 到 1 搭建具备“情节记忆”到“语义记忆”转化机制的智能体长短期记忆系统，并实现用户画像的动态演进与个性化交互 。视觉感知与 3D 交互增强：研发强化视觉能力的智能体，使其能够解析复杂图表、手写文档及 3D 现实场景；探索 4D Gaussian Splatting 等技术在虚拟人或具身交互中的应用 。自动化评估与数据闭环：构建覆盖多领域、多场景的多模态 Benchmark 评估体系（如 VIBE），通过 LLM-as-a-Judge 机制实现实验评估与数据回流的自动化全链路闭环 。跨场景工程落地：将前沿算法应用于智能驾驶难例挖掘、大规模 AI 集群任务调度及自动化运维智能体等高复杂度工业场景 。<ol><li> 任职要求</li></ol>专业背景：具有计算机科学、应用数学或相关领域的博士学位，具备扎实的理论机器学习与高维统计背景 。核心技术能力：精通 Python 编程，深入理解 PyTorch 等主流深度学习框架 。在 Llama-Factory 微调、RAG 系统设计、以及大规模无监督学习（如 SCRLM 聚类）方面有深厚积淀 。具备多模态大模型（VLM）预训练与对齐经验，熟悉测试时缩放（Test-time Scaling）等前沿推理优化技术 。学术与工程成就：在 ICLR、CVPR、ICCV 或相关领域顶刊（如 JCGS）发表过具有影响力的研究成果 。拥有多项计算机视觉或多模态处理相关的国际/国内专利授权 。综合素质：具备从算法理论研究到大规模系统工程落地的全链路能力，能够主导解决 AI Agent 在复杂环境下的鲁棒性与扩展性问题 。

多模态感知与交互智能体研究员

About the Role: We are seeking a detail-oriented Assistant HR Officer to support our HR team in managing end-to-end employee lifecycle processes. This role is ideal for a proactive professional with 1-2 years of HR experience, offering opportunities to grow in recruitment, compliance, and employee relations within a collaborative environment.Key Responsibilities: 1. Recruitment &amp; Onboarding • Coordinate the full recruitment cycle: job postings, screening, interviews, and offer letters. • Manage onboarding processes, including documentation, orientation schedules, and system setups (HRIS). • Conduct background checks and verify employment eligibility. 2. Employee Lifecycle Management • Administer contract renewals, extensions, and probationary reviews. • Process exit formalities (resignations/terminations), including exit interviews and clearance documentation. • Maintain up-to-date employee records (personal files, attendance, benefits). 3. HR Operations &amp; Compliance • Serve as the first point of contact for employee queries on policies, leaves, and benefits. • Ensure compliance with labor laws and internal policies; assist in audits. • Support payroll preparation by verifying timesheets and deductions. 4. Administrative Support • Organize HR documentation (digital/physical) and streamline filing systems. • Assist in drafting HR communications (announcements, policy updates). • Contribute to HR projects (engagement surveys, wellness programs).Qualifications &amp; Skills: • Bachelor’s degree in Human Resources, Business Administration, or related field. • 1-2 years of HR experience (internships included) in recruitment, administration, or employee services. • Proficiency in MS Office (Excel, Word, PowerPoint) . • Knowledge of labor laws and compliance requirements.

Assistant HR Officer

Insurance is a trillion-dollar industry with the marketing of a fax machine. Help us fix that.Novo AI builds AI that helps insurance companies make better healthcare decisions. Our engineering team ships agent-powered systems that process real medical documents for clients across Singapore, Thailand, and France — reducing manual work by 80%.The technology is real. The impact is real. But the world doesn't know about us yet. That's where you come in.What you'll actually doThis isn't a coffee-and-slide-decks internship. You'll use AI tools the same way our engineers use them — as force multipliers.AI video production. Insurance executives don't watch TikToks. But they do watch sharp, well-produced 15-60 second videos that cut through the noise. You'll take dry industry news, product features, and client results — and turn them into B2B video content using tools like HeyGen, Runway, and Midjourney.LLM-powered research &amp; content. You don't need to know insurance today. You'll use Claude and ChatGPT to learn what insurance executives actually care about, then translate our product value into one-pagers, landing pages (using tools like Lovable), and event materials. You'll learn an entire industry by prompting, not by reading textbooks.Virtual events. We target a small, specific audience — insurance decision-makers. You'll help organize and promote targeted virtual roundtables, using your video content to drive the right people to RSVP. Quality over quantity, always.Why this mattersInsurance companies control the largest flow of money in healthcare. Every claim decision shapes which doctors thrive, which treatments get adopted, and which patients get care. Most insurers still run on manual processes and outdated systems — and they're marketed to the same way. We're changing both.Who you areA fast learner. You don't know insurance today, but you know how to prompt an LLM to teach you the basics by tomorrow.A tinkerer. You love playing with new AI tools. If a new video generator drops on Twitter, you're already testing it.A vibe coder. You've built something with low-code tools — a landing page, a prototype, a side project. You don't wait for a developer to make things happen.You have taste. You know the difference between "this looks AI-generated" and "this looks good." You aim for the latter.SchedulePart-time (15-20 hours/week, flexible around classes) from April through May. Full-time from June through August. Fully remote.How to applySend your resume and a link to something you've made with AI tools — a video, a landing page, a design, using AI— to hiring@heynovo.ai.

AI Marketing & Video Intern

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

<ul><li>Design and develop end-to-end systems across mobile applications (iOS &amp; Android), backend services, APIs, and data layers</li><li>Take ownership of system architecture, including component boundaries, data flow, and client–server responsibilities</li><li>Collaborate with cross-functional teams to translate real-world operational and research requirements into scalable technical solutions</li><li>Build and maintain backend services and integrations supporting LocoBikeʼs core mobility and operations platforms</li><li>Work closely with mobile apps, understanding performance, latency, reliability, and real-world usage constraints</li><li>Use Python to support R&amp;D activities, including: </li></ul><ol><li>Data processing and analysis </li><li>Algorithm prototyping and experimentation </li><li>Supporting research validation and technical documentation </li></ol><ul><li>Leverage AI coding agents to accelerate development while: </li></ul><ol><li>Clearly defining problems and constraints </li><li>Critically reviewing and validating generated code </li><li>Ensuring correctness, performance, and maintainability </li></ol><ul><li>Review AI-assisted outputs with a strong verification mindset, considering edge cases, failure modes, and long-term implications</li><li>Continuously improve system design, code quality, and development workflows Education &amp; Experience Bachelorʼs degree or above in Computer Science, Engineering, Data Science, or a related discipline; Masterʼs degree or PhD preferred.</li></ul>

R&D Engineer

KEY RESPONSIBILITIES Core System Design &amp; Development: Participate in designing and implementing high-availability, high-concurrency backend services, building core modules of the cognitive engine. Write code, conduct unit testing, and optimize performance to ensure system stability and reliability.AI Reasoning Integration: Integrate with large language models (LLMs), including API integration, prompt engineering, context management, and implementation of memory storage and retrieval strategies, enabling agents to have continuous learning and reasoning capabilities.Data Layer Construction: Help design and build the underlying data storage solutions, including relational databases, vector databases, and caching systems, ensuring efficient data access and persistence for large-scale AI applications.Abstraction &amp; Decoupling: Help build abstraction layers decoupled from specific models and cloud providers, ensuring the system can quickly adapt to new AI models and infrastructure, avoiding vendor lock-in.Rapid Prototyping &amp; Iteration: Based in the Hong Kong command center, work closely with product and research teams to quickly turn new ideas into working prototypes, validate technical feasibility, and continuously improve the product.Documentation &amp; Collaboration: Write clear technical documentation, participate in code reviews, and share knowledge with team members to collectively improve engineering quality and efficiency. QUALIFICATIONS Education &amp; Experience: Bachelor's degree or above in Computer Science or related field; 2-5 years of backend development experience, with experience in full project lifecycle preferred. If you have exceptional technical skills, degree requirements can be relaxed.Programming Skills: Proficiency in at least one backend language (Node.js/Go/Rust/Python), with good coding habits and code quality awareness. Familiar with common data structures and algorithms.System Design Fundamentals: Understanding of distributed system concepts such as microservices architecture, RPC, message queues, load balancing. Experience with high-concurrency systems is a plus.Database Knowledge: Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis), understanding of their use cases and basic optimization. Knowledge or experience with vector databases (e.g., Pinecone, Milvus, Qdrant) is a plus.AI Fundamentals: Strong interest in LLMs, familiar with using models like ChatGPT/Claude, understanding of prompt engineering basics, or hands-on experience calling LLMs via APIs.Containerization &amp; Cloud: Familiar with Docker, understanding of basic Kubernetes operations; experience deploying services on AWS/GCP/Azure.Learning &amp; Communication: Ability to quickly learn new technologies; good team communication and collaboration skills, able to articulate technical ideas clearly in Chinese and English (written and spoken).Language &amp; Location: Fluent in Chinese and English, able to work in an English-speaking environment. Based in Hong Kong or willing to relocate immediately.

Where Talent Meets Opportunity