26 AI Innovation jobs in Hong Kong

Join to apply for the Engineer (Innovation & Technology) role at Hip Hing Construction Company Limited

Join to apply for the Engineer (Innovation & Technology) role at Hip Hing Construction Company Limited

• Support the Innovation and Technology Department on exploring and managing innovative applications and technology for construction.
• Coordinate innovation projects from proposal preparation to project completion.
• Conduct research including field trials and laboratory tests if necessary and data analysis.
• Assist IP rights registration and research funding application.
• Prepare internal periodical reports and external submissions.
• Attend meetings and perform research and development works.
• Any ad-hoc duty assigned by the management.

Requirements

• Degree in Building / Civil / Mechanical Engineering or equivalent.
• 5 years relevant experience in construction industry / engineering research & development.
• Chartered membership of professional institution is an added advantage.
• Good project coordination and interpersonal skill.
• Proficiency in written and spoken English.
• Conversant with Microsoft Word, Excel, Powerpoint, and CAD drafting.

Attractive salary and fringe benefits will be offered to the successful candidates.

All personal data collected will be used for recruitment purposes only.

Applicants who are not invited for an interview within 8 weeks may consider their applications unsuccessful.

• Seniority level Associate

• Employment type Full-time

• Job function Research, Business Development, and Design
• Industries Construction, Industrial Machinery Manufacturing, and Wholesale Building Materials

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Get notified about new Technology Engineer jobs in Hong Kong, Hong Kong SAR .

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We are looking for an AI Research Engineer with a passion for cutting-edge research and a focus on the development of innovative AI solutions. As part of the R&D team, you will lead the exploration, prototyping, and experimentation of AI-driven systems that will underpin key features of the Narrative Projects platform, such as specification document generation and intelligent manufacturing matchmaking.

You will collaborate closely with our product, design, and engineering teams to ensure your research contributes to deployable solutions that enhance platform capabilities. Your work will focus on the theoretical and practical aspects of machine learning, deep learning, and natural language processing, with the ultimate goal of pushing the boundaries of what AI can achieve in influencer-led brand creation.

Responsibilities:

• Conduct research and develop novel machine learning and AI models, with a focus on specification document generation, manufacturing matchmaking, and influencer-brand interactions.
• Prototype AI-based solutions using state-of-the-art techniques in deep learning, NLP, and computer vision.
• Explore new methodologies, including transformer models, GANs, reinforcement learning, and other advanced algorithms to improve platform intelligence and scalability.
• Publish research findings, white papers, and contribute to the broader AI community through conferences, journals, or open-source contributions.
• Collaborate with cross-functional teams to transition research prototypes into production-ready solutions that can scale across a growing user base.
• Develop and maintain datasets from diverse sources, focusing on influencer content, brand preferences, and manufacturing standards to drive model training and experimentation.
• Evaluate the performance of models through rigorous testing, benchmarking, and refinement of algorithms based on real-world data from influencers and manufacturers.

Job Level: Mid-Senior level

Publish Date: 16/03/2025

Job Ref. No.: N/A

Job Function: Software Development

Emerging brands face a high barrier to entry due to antiquated product development and manufacturer matchmaking processes. Narrative Projects is disrupting this status quo with an AI-powered marketplace that empowers brands to accelerate time to market, optimize costs, and make informed decisions based on trend predictions and prototyping insights.

We are looking for an AI Research Engineer with a passion for cutting-edge research and a focus on the development of innovative AI solutions. As part of the R&D team, you will lead the exploration, prototyping, and experimentation of AI-driven systems that will underpin key features of the Narrative Projects platform, such as specification document generation and intelligent manufacturing matchmaking.

You will collaborate closely with our product, design, and engineering teams to ensure your research contributes to deployable solutions that enhance platform capabilities. Your work will focus on the theoretical and practical aspects of machine learning, deep learning, and natural language processing, with the ultimate goal of pushing the boundaries of what AI can achieve in influencer-led brand creation.

Responsibilities:

• Conduct research and develop novel machine learning and AI models, with a focus on specification document generation, manufacturing matchmaking, and influencer-brand interactions.
• Prototype AI-based solutions using state-of-the-art techniques in deep learning, NLP, and computer vision.
• Explore new methodologies, including transformer models, GANs, reinforcement learning, and other advanced algorithms to improve platform intelligence and scalability.
• Publish research findings, white papers, and contribute to the broader AI community through conferences, journals, or open-source contributions.
• Collaborate with cross-functional teams to transition research prototypes into production-ready solutions that can scale across a growing user base.
• Develop and maintain datasets from diverse sources, focusing on influencer content, brand preferences, and manufacturing standards to drive model training and experimentation.
• Evaluate the performance of models through rigorous testing, benchmarking, and refinement of algorithms based on real-world data from influencers and manufacturers.

Job Level: Mid-Senior level

Publish Date: 16/03/2025

Job Ref. No.: N/A

Job Function: Software Development

Emerging brands face a high barrier to entry due to antiquated product development and manufacturer matchmaking processes. Narrative Projects is disrupting this status quo with an AI-powered marketplace that empowers brands to accelerate time to market, optimize costs, and make informed decisions based on trend predictions and prototyping insights.

• Conduct research and development of core AI technologies, including machine learning algorithm design, deep learning model optimization, large-scale model training and deployment, and AI system architecture design;
• Explore the application of AI technologies in vertical domains (such as 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science, etc.), design end-to-end solutions, and drive implementation and validation;
• Lead the development of AI platforms and tools, covering the full technical stack including data governance, model training, inference acceleration, and automated evaluation;
• Collaborate across teams to promote industry-academia-research cooperation, contribute to open-source communities, publish academic papers, and participate in patent strategy planning;
• Complete other tasks assigned by leadership.

Requirements:

• Master’s degree or above from a full-time accredited institution in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, or related fields; contributions to open-source communities are preferred;
• Solid theoretical foundation in machine learning and deep learning; familiarity with mainstream algorithms and models (e.g., CNN, RNN, Transformer, GAN); experience in areas such as computer vision (CV), natural language processing (NLP), large models, or reinforcement learning is preferred;
• Proficient in frameworks such as TensorFlow or PyTorch, and programming languages like Python or C++; engineering experience in distributed training, model compression, and edge inference is a plus; hands-on experience in developing large models (e.g., LLMs or multimodal models) is preferred;
• Practical experience integrating AI with vertical industries (e.g., 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science) is a strong advantage;
• Excellent communication and coordination skills, with fluency in English (listening, speaking, reading, and writing) for daily research activities.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering, Information Technology, and Research
• Industries Telecommunications and Research Services

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Wan Chai District, Hong Kong SAR 1 month ago

Central & Western District, Hong Kong SAR 3 weeks ago

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• Conduct research and development of core AI technologies, including machine learning algorithm design, deep learning model optimization, large-scale model training and deployment, and AI system architecture design;
• Explore the application of AI technologies in vertical domains (such as 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science, etc.), design end-to-end solutions, and drive implementation and validation;
• Lead the development of AI platforms and tools, covering the full technical stack including data governance, model training, inference acceleration, and automated evaluation;
• Collaborate across teams to promote industry-academia-research cooperation, contribute to open-source communities, publish academic papers, and participate in patent strategy planning;
• Complete other tasks assigned by leadership.

Requirements:

• Master’s degree or above from a full-time accredited institution in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, or related fields; contributions to open-source communities are preferred;
• Solid theoretical foundation in machine learning and deep learning; familiarity with mainstream algorithms and models (e.g., CNN, RNN, Transformer, GAN); experience in areas such as computer vision (CV), natural language processing (NLP), large models, or reinforcement learning is preferred;
• Proficient in frameworks such as TensorFlow or PyTorch, and programming languages like Python or C++; engineering experience in distributed training, model compression, and edge inference is a plus; hands-on experience in developing large models (e.g., LLMs or multimodal models) is preferred;
• Practical experience integrating AI with vertical industries (e.g., 5G/6G, Web 3.0, education, healthcare, law, finance, AI for Science) is a strong advantage;
• Excellent communication and coordination skills, with fluency in English (listening, speaking, reading, and writing) for daily research activities.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering, Information Technology, and Research
• Industries Telecommunications and Research Services

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Wan Chai District, Hong Kong SAR 1 month ago

Central & Western District, Hong Kong SAR 3 weeks ago

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

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Join to apply for the Machine Learning Engineer role at FCC ANALYTICS

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  
  
  

• Conduct data analysis, feature engineering, and feature extraction for data within the financial industry
• Develop and implement cutting-edge machine learning algorithms focused on graph learning and time series analysis for applications such as transaction monitoring, anti-money laundering, and cryptocurrency analysis
• Maintain and optimize data pipelines, enhancing existing solutions through pre- and post-processing improvements, fine-tuning, performance evaluation, visualization, and testing
• Collaborate with cross-functional teams to identify and address customer needs and aspirations
• Proactively resolve ambiguity and tackle technical issues, driving innovation and efficiency in processes
  
  
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Statistics, or related fields
• Proficiency in at least one machine learning development framework, such as PyTorch, Keras, or TensorFlow, with hands-on experience in environment control
• Experience with programming, monitoring, visualization and project collaboration tools, including Python, VSCode, Conda, Git, and MySQL
• Knowledge of statistical machine learning and deep learning, particularly the models for graph and/or time series data, such as knowledge graph, spatial-temporal graph, and multivariate time series
• Interest in areas such as anomaly detection, federated learning, transfer learning, self-supervised learning, or uncertainty quantification
• Knowledge in LLM is a plus
• A passion for coding, programming, innovation, and problem-solving
• A keen interest in anti-money laundering practices and regulatory compliance
• Proficient in written and spoken Chinese (Cantonese or Mandarin); fluency in English is a plus

• Seniority level Entry level

• Employment type Full-time

• Job function Science
• Industries Technology, Information and Media

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New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months ago

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Direct message the job poster from AAA Global

Job Description

Our client is a leading quantitative investment manager in China. They are dedicated to enhancing portfolio performance and competitiveness by leveraging advanced machine learning techniques to uncover market patterns.

Responsibilities

• Apply a range of deep learning and machine learning techniques to model large-scale datasets, uncover data patterns, identify underlying structures, and continuously optimise predictive models
• Research and explore cutting-edge machine learning algorithms and their applications in finance

Requirements

Our client is seeking candidates who meet the following criteria:

• PhD degree or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field from a top-tier domestic or international institution
• Strong foundation in machine learning theory, with an in-depth understanding of deep learning algorithms
• Hands-on experience in at least one specialised area such as time series analysis, natural language processing, image recognition, or data mining
• Excellent programming skills, proficient in PyTorch or TensorFlow, with the ability to rapidly develop and implement state-of-the-art deep learning models
• Strong capacity for independent research and a scientific mindset, with a keen interest in exploring machine learning applications in finance

Preferred Qualifications

• Awards in major academic competitions, or outstanding results in machine learning competitions such as Kaggle
• Publications in top-tier machine learning and data science conferences or journals (e.g., NeurIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, IJCAI, etc.)
• Substantial hands-on experience in machine learning projects, particularly those with significant impact or visibility

• Seniority level Entry level

• Employment type Full-time

• Job function Research

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Wan Chai District, Hong Kong SAR 2 weeks ago

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Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

1 year ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer role at Wizpresso 濃說

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About Wizpresso

(learn more at is a Hong Kong-based technology company that transforms enterprise workflow and empowers financial markets stakeholders. We develop software underpinned by natural language processing (NLP) and deep learning to augment market intelligence, regulatory reporting, and knowledge management. We deliver value to users by removing communication barriers between participants, improving business growth, managing risks, and enhancing operational efficiency.

Our clients include global financial institutions, professional services firms, and enterprises. Wizpresso has earned numerous accolades, such as the HKMA/HKT Innovation Awards 2024 (Gold), APICTA 2023 AI of The Year Awards, Maker in China 2022 Champion, CUHK Corporate Innovation Index 2022, HKICT Grand Fintech Award 2021, EPIC 2021 Fintech Champion, and multiple IFTA Fintech Awards. If youre passionate about pioneering financial and regulatory technology and eager to build transformative SaaS products for professionals, Wizpresso is the place for you. Join our fast-growing, dynamic team and thrive in a culture celebrating data wizards and automation mavens!

• We are obsessed with our customers.
• Building a powerful yet simple and elegant product is engrained in our culture.
• We value execution and outcomes over appearance and office politics.
• We believe everyone has great ideas and unique strengths.
  
  

• Collaborate with data scientists and software engineers to deploy machine learning models into production environments.
• Develop and maintain scalable infrastructure for training, testing, and deploying machine learning models.
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Monitor and optimize machine learning systems to ensure performance, scalability, and reliability.
• Troubleshoot and resolve issues related to model performance, data quality, and system stability.
• Collaborate with DevOps teams to ensure smooth integration of machine learning systems with existing infrastructure.
• Develop and maintain documentation related to machine learning infrastructure, processes, and best practices.
• Stay up-to-date with the latest advancements in machine learning operations and identify opportunities for improvement within the organization.
  
  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts and techniques.
• Proficiency in programming languages such as Python and/or R.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Knowledge of version control systems, such as Git.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fast-paced and dynamic environment.
• Attention to detail and a commitment to delivering high-quality results.
  
  

• Experience with deploying machine learning models in production environments.
• Knowledge of big data processing frameworks (e.g., Apache Spark, Hadoop).
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Understanding of software development methodologies (e.g., Agile, Scrum).
• Experience with infrastructure-as-code tools (e.g., Terraform, Ansible).

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Technology, Information and Internet

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Wan Chai District, Hong Kong SAR 6 days ago

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Direct message the job poster from AAA Global

Industry: Quantitative Research / Artificial Intelligence

Experience: Mid to Senior Level (Academic or Industry Research)

Employment Terms: Full-time

Compensation: $150,000–$50,000 USD

The Role – Machine Learning Researcher

A leading quantitative research group is seeking exceptional machine learning researchers to join their growing team. You will collaborate with experienced ML scientists and quant researchers to apply cutting-edge ML techniques to unique, proprietary datasets and develop high-impact trading signals.

This is a rare opportunity to work on research that leads directly to real-world results — no prior experience in finance is required.

Responsibilities And Priorities:

• Own the full lifecycle of ML research projects — from ideation and implementation to validation and deployment

• Adapt and extend existing models across ML fields to uncover predictive patterns in noisy, high-dimensional datasets

• Explore novel approaches to enhance portfolio performance and prediction capabilities

• Stay current with developments in AI/ML and bring new tools and ideas into the research workflow

• Collaborate with a highly technical and experienced team in a low-ego, results-oriented environment

Requirements:

• Master’s or PhD in machine learning, computer science, statistics, or a related discipline

• Prior experience conducting ML research with large, imperfect datasets

• Strong proficiency in Python and ML libraries such as Torch, JAX, or TensorFlow

• Understanding of modern sequence models, graph neural networks, reinforcement learning, or LLMs

• Familiarity with cluster computing environments and software engineering best practices (e.g., source control, testing)

• Strong analytical and quantitative skills; able to approach complex problems methodically

• Excellent written and verbal communication skills

• Team player with a collaborative mindset and high ethical standards

The Profile – Your Expertise

We're looking for inventive, self-directed researchers who are excited by the application of machine learning to real-world problems. You’ll thrive in this role if you enjoy taking ownership of ideas and developing them rigorously — with the space, resources, and data to see your work deliver real impact.

Experience, Ability And Knowledge:

• Demonstrated success in ML research (academic, open source, or industry)

• Ability to independently drive research projects

• Depth in one or more ML domains (e.g., generative models, graph-based ML, deep learning, RL)

• An appreciation for reproducibility, clarity, and collaborative workflows

Who You Are, What We Need:

• A clear thinker with strong written and verbal communication skills

• Self-motivated and comfortable in a highly technical peer group

• Open-minded and pragmatic when testing ideas and choosing methods

• Committed to the highest standards of professional conduct

The Package

• Annual base salary range: $150,000–$250,000 USD

• Discretionary bonus compens tion

• High-impact role with autonomy and ownership

• Access to one of the most interesting ML datasets in the space

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Finance

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Get notified about new Machine Learning Researcher jobs in Hong Kong, Hong Kong SAR .

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