What Jobs are available for Computer Vision in Hong Kong?
Showing 62 Computer Vision jobs in Hong Kong
Computer Vision Research Engineer
Posted today
Job Viewed
Job Description
Computer Vision Research Engineer
Here at Ailytics, we're building AI solutions to envision a safer world. By combining computer vision and predictive analytics, we enable organizations to proactively identify risks, optimize processes, and ultimately save lives. Our platforms are currently deployed all over the world, covering more than 300 million square meters
As a
Computer Vision Research Engineer, you'll push our boundaries and expand what we're capable of. Your role will extend beyond mere research and optimizations, it'll involve the full spectrum of the research lifecycle, with a focus on ensuring practical feasibility.
This role is open to being based in our Hong Kong/Singapore office, or possibly remote.
What You Will Be Doing
- Innovative AI Research and Development:
Spearhead cutting-edge research in AI, focusing on groundbreaking developments in areas such as Vision-Language Models, Zero-Shot learning, Cross Modal learning etc. - Computer Vision Research:
Lead in the research and development of robust AI and computer vision algorithms. Engage in rigorous benchmarking to assess and enhance performance continuously by seeking innovative ways to refine algorithms, improve efficiency, and ensure scalability. - Optimization of AI Technologies:
Focus on the refinement and optimization of AI models and algorithms for superior performance and applicability. Ensure the research findings are effectively translated into actionable insights and technologies, enhancing the efficacy and application of AI solutions. - Leadership in AI Research:
Offer mentorship and insight to a team of researchers and technical staff, nurturing an environment of learning and growth. Drive the research agenda forward, aligning with the company's vision and fostering a culture of innovation and excellence in the AI domain.
Our Ideal Requirements
- PhD in Computer Science, Electrical Engineering, or related fields, emphasizing the theoretical foundation and research methodologies.
- Ideally at least 4 years of dedicated research and development experience, showcasing a strong foundation in advancing the field of visual recognition technologies.
- Strong foundation in algorithms (DSA), linear algebra, and statistical models.
- Proven track record of publishing research at top computer vision or machine learning conferences (e.g., CVPR, NeurIPS, ICCV, ECCV).
- Ability to prototype concepts rapidly and evaluate them for potential product integration.
- Proficient in Python and in using deep learning frameworks like PyTorch and TensorFlow.
- Hands-on experience in optimizing deep learning models through techniques such as quantization, pruning, and converting model formats, including ONNX and TensorRT.
- Demonstrated expertise in conceptualizing, developing, and refining computer vision pipelines, with a focus on novel algorithmic approaches.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent communication abilities and ability to articulate research findings and technical challenges to both technical and non-technical stakeholders.
Why Work At Ailytics?
- This is an opportunity to create lasting impact and explore the intersection of AI and safety.
- We're a start-up that's still in its early stages. If you're looking for an environment where you can really make an impact, this is it.
- We value strong standards, high transparency, and low egos. Let us know if this sounds like you.
Is this job a match or a miss?
Computer Vision Algorithm Engineer
Posted today
Job Viewed
Job Description
Job Responsibilities
- Develop stereo calibration algorithms (binocular/self-calibration) and structured light 3D imaging algorithms for dual-camera systems.
- Optimize and deploy stereo vision AI models (stereo matching, depth estimation, visual segmentation) on embedded platforms (e.g., Jetson, FPGA).
- Enhance real-time performance and accuracy of binocular imaging systems, addressing challenges like weak textures and occlusions.
- Participate in camera hardware selection and imaging optimization, collaborating with optical/electrical teams for system integration.
Requirements
- Master's degree or higher in Computer Science, Automation, Mathematics, or related fields.
- 3+ years of practical experience (including competitions/internships) in stereo vision or structured light camera development.
- Proficient in OpenCV, PCL, ROS, and programming languages (C++/Python); experience with CUDA/OpenCL optimization preferred.
Familiarity with:
Zhang's calibration method and multi-sensor calibration.
Classical stereo matching algorithms (e.g., SGM, ELAS) and deep learning models (e.g., PSMNet, RAFT-Stereo).
Preferred:
Experience in model quantization/pruning for edge deployment.
- Background in 3D reconstruction/SLAM projects.
Is this job a match or a miss?
3D Computer Vision Algorithm Engineer
Posted today
Job Viewed
Job Description
Job Responsibilities:
1.Develop and optimize camera systems and computer vision algorithms.
2.Research and improve 6DoF pose estimation and tracking techniques using RGB-D and multi-sensor data.
3.Conduct model experimentation and validation using Python and PyTorch.
4.Assist in algorithm deployment and performance testing in a medical setting.
5.Prepare technical documentation and contribute to patents and research projects.
Job Requirements:
1.Bachelor's or Master's degree in Computer Science, AI, Electronic Engineering, Automation, or a related field.
2.Proficient in Python programming with practical experience in PyTorch.
3.Basic knowledge of C++; able to read and modify code with guidance.
4.Project, course, or research experience in point cloud processing, pose estimation, or 3D vision.
- Strong mathematical foundation (linear algebra, geometric transformations).
6.Interest in medical technology, with excellent learning ability and teamwork spirit.
Is this job a match or a miss?
Senior Staff Engineer, Computer Vision
Posted today
Job Viewed
Job Description
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
Introduction
We are seeking a highly skilled
Senior Staff Engineer
to join our
Computer Vision
team. This role is focused on:
- Deepfake Generation and Detection – Developing advanced algorithms to create and identify synthetic media, ensuring the integrity of biometric security.
- Injection Attack Prevention – Researching and implementing defenses against injection attacks in biometric authentication systems.
- General OCR for Global IC Cards – Enhancing Optical Character Recognition (OCR) solutions for secure and accurate extraction of information from various identity cards worldwide.
- Image/Video Generation in AIGC – Exploring and applying AI-generated content (AIGC) techniques to create and manipulate images and videos.
- Multi-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.
The ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.
Responsibilities
- Develop and implement state-of-the-art computer vision technologies, including deepfake detection, general OCR recognition, and AI-generated media processing.
- Research and build robust solutions for biometric security, including injection attack prevention and multi-modal authentication techniques.
- Collaborate with cross-functional teams to integrate solutions into existing platforms, ensuring scalability and performance.
- Stay up-to-date with industry trends and advancements in computer vision, machine learning, and security.
- Contribute to research, experimentation, and innovation in biometric security solutions.
Requirements
- Bachelor's degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision or machine learning.
- At least 8 years of industry experience in developing computer vision solutions, including liveness detection and anti-forgery measures.
- Strong experience in AI and machine learning technologies, particularly in applications related to computer vision.
- Hands-on experience in developing large-scale projects involving face recognition, liveness detection, and deepfake detection.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Experience working in fast-paced tech companies or startup environments.
- Contributions to open-source projects or research publications in the field of computer vision and biometric security.
- Familiarity with edge AI and real-time processing for computer vision applications.
Perks & Benefits
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.
Is this job a match or a miss?
Lead Engineer, Computer Vision and Software Development
Posted today
Job Viewed
Job Description
The Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong's competitiveness through applied research. ASTRI's core R&D competence in various areas is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Intelligent Perception and Control Technologies.
It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits, and Metaverse.
Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. To date, ASTRI has transferred almost 1,500 technologies to the industries and been granted more than 1,100 patents in the Mainland, the US, and other countries.
To support our constant endeavour to position Hong Kong as a world-class smart city and an international hub of innovation and technology, we are seeking qualified professionals to fill the following position(s):
Job Responsibilities:
- Lead, develop, and implement systems for AI-driven Avatar content generation and other computer vision applications.
- Collaborate with the team to ensure high performance, quality, and responsiveness of the applications.
- Stay updated on the latest technologies and apply them to computer vision applications.
- Support R&D projects and deliver solutions to meet milestones and deadlines.
- Perform ad-hoc duties as assigned.
Job Requirements:
- Master's degree or above in Computer Science, Information Engineering, or related fields.
- At least 3 years of experience in machine learning or computer vision.
- Strong proficiency in Python or C/C++.
- Knowledge of an additional mainstream programming language is a plus.
- Familiarity with fundamental computer vision algorithms and techniques.
- Experience with computer vision frameworks such as OpenCV, TensorFlow, or PyTorch.
- Hands-on experience with Docker and software development tools like Git will be a plus.
- Experience in AIGC development or Avatar video generation.
- Proficiency in written and spoken English and Chinese.
- A team player who thrives in collaborative and dynamic environments.
- Live ASTRI values.
The appointment will be on renewable contract terms with a competitive salary and performance-linked variable pay. Fringe benefits include paid leave, medical, insurance coverage and contribution to MPF. The incumbent will normally work a five-day week.
For interested parties, please submit your application with detailed CV within two weeks of the post date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until the post is filled.
The resume should
not
include any sensitive personal information such as ID card no. or travel document number, etc.
Position offer is subject to the applicant's experience and academic qualification. Only short-listed candidates will be notified. ASTRI reserves the right not to fill the position.
ASTRI is an Equal Opportunities Employer. Personal data provided by job applicants will be used exclusively for recruitment only. For details, please refer to ASTRI Privacy Policy Statement.
Is this job a match or a miss?
Artificial Intelligence
Posted today
Job Viewed
Job Description
RESPONSIBILITIES
- To solve problems related to drug discovery by machine learning;
- Carry out research to advance the science and technology of AI;
- To coordinate and liaise with different parties of the project on the planning, development, and implementation of various project activities;
QUALIFICATIONS
- MsC/MPhil/PhD degree in Bioinformatics, Computational Chemistry or Computational Biology, Computer Science, Applied Mathematics, Mathematics, Statistic ;
- Experience in one of the following fields: Deep Learning or machine learning
- Capability of implementing algorithms from papers to programs, tailored to particular business needs and tested on a large dataset;
- Strong self‐learning ability, and a strong interest in machine learning in the industry;
Familiar with machine learning (Any of the following: Numpy, Pandas, Scikit‐Learn, XGboost, Pytorch, Keras, etc.);
Benefit: 5 Days work week, monthly bonus, medical allowance
Interested parties please send full resume with present & expected salary by Apply Now, or send to : -
Please note that only shortlisted candidate will be notified.
All information will be treated in strict confidence and solely used for recruitment purposes.
Job Types: Full-time, Permanent
Benefits:
- Medical Insurance
Work Location: In person
Is this job a match or a miss?
Artificial Intelligence Researcher
Posted today
Job Viewed
Job Description
Responsibilities
- Being responsible for keeping track of the academic and industrial progress in LMM.
- Develop the advanced high-performance LMM architecting and algorithm to help to enhance the core competitiveness and user experience of the company's related products.
- Collaborating with product groups in development of above applications and research activities.
Qualifications
- PhD/Master degree in computer vision, machine learning, computer science, mathematics, automation, or have equivalent research experiences.
Required Skills
- Have more than two years experiences in research in applying machine learning and deep learning.
- Have solid programming skills, proficient in C/C++, Python and other programming languages.
- Have good team cooperation spirit, as well as communication and coordination ability.
Preferred Skills
- Have LMM research and engineering experience.
- Have experience in world model.
- Have experience in training LM with RL.
Is this job a match or a miss?
Be The First To Know
About the latest Computer vision Jobs in Hong Kong !
Artificial Intelligence Researcher
Posted today
Job Viewed
Job Description
Responsibilities
- Being responsible for keeping track of the academic and industrial progress in LMM.
- Develop the advanced high-performance LMM architecting and algorithm to help to enhance the core competitiveness and user experience of the company's related products.
- Collaborating with product groups in development of above applications and research activities.
Qualifications
- PhD/Master degree in computer vision, machine learning, computer science, mathematics, automation, or have equivalent research experiences.
Required Skills
- Have more than two years experiences in research in applying machine learning and deep learning.
- Have solid programming skills, proficient in C/C++, Python and other programming languages.
- Have good team cooperation spirit, as well as communication and coordination ability.
Preferred Skills
- Have LMM research and engineering experience.
- Have experience in world model.
- Have experience in training LM with RL.
Is this job a match or a miss?
Artificial Intelligence Consultant
Posted today
Job Viewed
Job Description
岗位概述
我们是一家专注于公募及专户业务的资产管理公司,正在寻找一位真正
能将AI落地到业务中、提升团队效率与协作质量
的实干型专家。
这不是一个"写PPT"或"跑模型"的岗位,而是一个能让你
深入业务场景、用AI解决实际问题
的机会。
你将成为公司内部的"AI赋能引擎",通过智能化工具与自动化工作流,优化投资研究、报告撰写、合规检查、客户沟通、会议纪要等日常流程,推动整个团队的数字化转型。
核心职责
AI工具应用与落地
熟练使用 ChatGPT、Claude、Notion AI、Zapier、、Prompt Engineering 等AI工具;
- 设计并搭建公司内部的AI工作流,实现内容生成、数据整理、任务自动化等;
优化团队的内部知识库、文件管理、会议纪要、客户邮件自动化等流程。
业务流程优化
分析投研、销售、合规、后台团队的日常工作流程,找出提效机会;
- 设计标准化模板、提示词体系(prompt system)及自动化脚本;
用AI连接内部与外部系统(CRM、邮件、Excel、Notion、Slack等)。
团队培训与赋能
定期为公司成员开展AI工具培训;
- 推动AI文化落地,建立部门级的AI使用规范;
- 作为"内部AI顾问",协助不同团队用AI解决日常痛点。
候选人画像
你可能具备以下特征:
- ChatGPT、Claude、Notion AI、Zapier、Make.com等AI工具的
重度用户
; - 对金融业务、投资研究、或后台流程有一定理解;
- 具备
产品思维
或
运营思维
,喜欢系统化、结构化地解决问题; - 热衷探索AI在实际工作场景中的落地价值;
- 能够
亲手搭建自动化流程
(无需工程师背景,但具备实操能力); - 英语与中文工作流畅,能快速学习新工具。
任职要求
- 本科及以上学历,专业不限(信息系统、工程、金融、管理优先);
- 有资产管理、咨询、科技公司或创新团队背景者优先;
- 有Notion、Zapier、Make、Airtable、Google Workspace Automation或类似经验;
- 具备Prompt Engineering经验或AI工具实战案例者优先。
我们能提供
- 扁平、开放的工作氛围:你的AI方案将直接影响整个团队;
- 高度自由与试错空间:支持快速验证与内部实验;
- 与投资、研究、合规等多团队协作,真实了解金融一线;
- 有竞争力的薪酬及长期成长空间。
如果您感兴趣,-,我们的顾问会尽快联系您
Is this job a match or a miss?
Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
About the Role
We are seeking a passionate and innovative AI Developer for our Global Retail Client to pioneer next-generation AI solutions. In this role, you will be at the forefront of designing, building, and deploying advanced systems with a primary focus on Large Language Models (LLMs) and generative AI. You will bridge the gap between cutting-edge research and real-world applications, turning complex challenges into scalable products.
Key Responsibilities
- End-to-End Model Development:
Design, build, train, and optimize AI models using frameworks like TensorFlow and PyTorch. - Research & Experimentation:
Continuously explore new techniques in neural networks, prompt engineering, and model architectures to enhance performance, efficiency, and capability. - Data & Feature Engineering:
Perform rigorous data cleansing, preprocessing, and feature engineering to ensure high-quality inputs for model training. - Collaborative Execution:
Work closely with cross-functional teams, including product managers and software engineers, to define requirements, iterate on solutions, and deliver impactful results. - Production Deployment:
Manage the deployment, monitoring, and maintenance of AI models in live production environments.
Qualifications & Experience
Must-Have:
- A degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Data Science.
- Proven professional experience developing neural networks, statistical models, and machine learning solutions.
- Strong proficiency in
Python
and its core AI/ML libraries (e.g.,
TensorFlow, PyTorch, NumPy, Pandas, Scikit-learn
). - Solid hands-on experience with data and feature engineering.
- Familiarity with core AI concepts, including
Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), Natural Language Processing (NLP),
and
Image Processing
.
Ideal Candidate:
- Experience with Large Language Models (LLMs), including training, fine-tuning, and prompt engineering.
- Familiarity with MLOps principles and tools for deploying and monitoring models in production.
- A self-motivated, growth-minded individual who is a strong team player and can adapt with agility to new challenges.
Is this job a match or a miss?