32 Data Science jobs in Hong Kong

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

Referrals increase your chances of interviewing at Wizpresso 濃說 by 2x

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

Referrals increase your chances of interviewing at AAA Global by 2x

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

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

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

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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

Continue with Google Continue with Google

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

Referrals increase your chances of interviewing at FCC ANALYTICS by 2x

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Continue with Google Continue with Google

New Territories, Hong Kong SAR 21 hours ago

Kwun Tong District, Hong Kong SAR 6 months 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

Get AI-powered advice on this job and more exclusive features.

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

Referrals increase your chances of interviewing at Wizpresso 濃說 by 2x

Wan Chai District, Hong Kong SAR 6 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from Fano (Fano Labs)

About Us:

We are a fast-growing AI startup focused on transforming industries through cutting-edge speech technologies. Our mission is to bring powerful AI solutions to production, with a strong emphasis on ASR and LLM-based systems. We’re looking for a skilled and motivated Machine Learning Engineer to join our AI Systems team. In this role, you’ll work closely with our ASR, LLM and MLOps teams to build scalable production-ready ML infrastructure and workflows.

If you’re passionate about innovation, thrive in cross-functional environments, and are eager to build advanced ML systems that make an impact, we want to hear from you.

Responsibilities:

• Design, build, and maintain robust data and ML pipelines
• Collaborate with Research Scientists to train and evaluate advanced ASR models and / or LLM workflows for production
• Design and run systematic experiments to improve the performance, efficiency, and scalability of AI workflows
• Develop and support evaluation frameworks for LLM use cases, including RAG and agentic workflows
• Benchmark models and conduct performance diagnostics across ML systems

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field-or equivalent experience
• Proficient in Python; strong experience with UNIX-based systems and version control
• Hands-on experience with PyTorch and modern ML frameworks
• Experience training, testing, evaluating and optimizing deep learning models
• Solid understanding of data structures, algorithms and software engineering best practices
• Strong problem-solving and communication skills with an ability to collaborate across teams

Preferred Qualifications:

• Experience across the MLOps lifecycle: data ingestion, ETL, training, evaluation, deployment
• Familiarity with LLM-based systems, RAG pipelines, agentic workflows, or tools such as LangGraph
• Experience handling audio data or training ASR models
• Knowledge of tools such as Ray, Apache Iceberg, Spark, ZenML
• Experience with Docker, CI/CD workflows, Kubernetes and visualization platforms

We offer:

• Competitive compensation packages based on experience
• Hybrid remote work flexibility
• Medical insurance
• A collaborative, fast-paced, and mission-driven environment

• Seniority level Entry level

• Employment type Full-time

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

Referrals increase your chances of interviewing at Fano (Fano Labs) by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.

Dream big
—Be visionary, strategic, and open to innovation

Build great things
—Work in service of our users, always improving and pushing higher

Operate as an owner
—Propel company success and impact with an entrepreneurial mindset

Win like a sports team
—Be trusting and collaborative while empowering others

Learn and grow fast
—Never stop learning and iterate fast

Share our passion
—Share ideas and practice enthusiasm and joy

After our huge success with the latest AI releases, we are accelerating the research and development of cutting-edge features leveraging AI to create the best learning and note-taking platform. You will be part of a cross-functional engineering team, doing state-of-the-art research that transforms into real-world products, empowering millions of users in their study/work flows. We are a globally-distributed team spanning across Europe and Asia. Thanks to the asynchronous working culture Goodnotes has adopted, time zones will not impact your work-life balance. During the natural overlap of hours within the team, you will have regular meetings to coordinate work between members on the team.

This is the role for you, if you’re excited to work on any of the things listed below:

• Research and develop state-of-the-art AI/ML models to serve millions of users.
• Push the boundaries of document analysis and recognition technologies, such as Handwriting Recognition, Handwriting Synthesis, Stroke Classification and Document Layout Analysis.
• Collaborate closely with a multidisciplinary team, including engineers, QA, and product designers, in a fast-paced environment to deliver features rapidly.

The skills you will need to be successful in the above:

• Strong foundation in Deep Learning and sequence modelling, with experience applying them to real-world problems.
• Deep knowledge in Handwriting Recognition, Handwriting Synthesis, Document Layout Analysis and/or related areas.
• Research track record via publications and/or open-source contributions in Document AI or relevant fields.
• Strong grasp of computer science fundamentals with a robust background in software engineering.
• Proficiency in Python and at least one Machine Learning framework such as PyTorch, TensorFlow and JAX.
• Working knowledge of C++, Rust or Swift is a plus.
• Knowledge of model optimization for on-device deployment.
• Excellent communication skills in English.

Even if you don’t meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed.

• An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you’d like to join Goodnotes
• A short Algo/Data structure interview with an Engineer
• An ML technical interview with one of our ML engineers. This is where you get to see what it would be like working at Goodnotes as well as the chance to ask any questions you may have about our ML R&D
• A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as supporting you throughout your career at Goodnotes
• Values interview to align with the company culture with a few team members of the team you would be joining or a member of the leadership team.

• Meaningful equity in a profitable tech-startup
• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite
• Company-wide annual offsite
• Flexible working hours and location
• Medical insurance for you and your dependents

Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.

By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here .

Create a Job Alert

Interested in building your career at Goodnotes? Get future opportunities sent straight to your email.

*

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First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Where did you hear about this job opening? *

If remote, which country would you be working from? *

Will you need a visa sponsorship? * Select.

What is your expected salary (please do not include this on your CV/resume)? *

Please include your local currency, or the currency of the location you are open to moving to

What is your notice period (in months)? *

Please indicate your working preference

Office-based in Hong Kong (WFH available)

Office-based in London (WFH available)

Fully remote in Europe

Fully remote in Asia

Choose all that apply.
Please note: We can only offer remote roles in Europe or Asia

Do you have any professional research experience in any of the following technologies? *

1. Handwriting recognition or synthesis

2. Document Layout Analysis,

3. Stroke Classification

5. None of the above

Website

LinkedIn Profile

Goodnotes is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

To help us ensure a fully diverse, equitable and inclusive working environment, we invite you to fill out this voluntary survey so we can track and further our Diversity, Equity and Inclusion efforts. The information shared here cannot and will not affect your job application in any way. It’s also 100% anonymous, and is not linked to your name, identity or application.

Select the gender that you most identify with: Select.

Select your sex: Select.

Select your sexual orientation: Select.

Select the ethnicity that you identify with: Select.

Select the race or ancestry that best describes you: Select.

Please select any of the following disabilities or impairments you have: Select.

Select the religious group you identify with: Select.

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.

Dream big
—Be visionary, strategic, and open to innovation
Build great things
—Work in service of our users, always improving and pushing higher
Operate as an owner
—Propel company success and impact with an entrepreneurial mindset
Win like a sports team
—Be trusting and collaborative while empowering others
Learn and grow fast
—Never stop learning and iterate fast
Share our passion
—Share ideas and practice enthusiasm and joy

After our huge success with the latest AI releases, we are accelerating the research and development of cutting-edge features leveraging AI to create the best learning and note-taking platform. You will be part of a cross-functional engineering team, doing state-of-the-art research that transforms into real-world products, empowering millions of users in their study/work flows. We are a globally-distributed team spanning across Europe and Asia. Thanks to the asynchronous working culture Goodnotes has adopted, time zones will not impact your work-life balance. During the natural overlap of hours within the team, you will have regular meetings to coordinate work between members on the team.

This is the role for you, if you’re excited to work on any of the things listed below:

• Research and develop state-of-the-art AI/ML models to serve millions of users.
• Push the boundaries of document analysis and recognition technologies, such as Handwriting Recognition, Handwriting Synthesis, Stroke Classification and Document Layout Analysis.
• Collaborate closely with a multidisciplinary team, including engineers, QA, and product designers, in a fast-paced environment to deliver features rapidly.

The skills you will need to be successful in the above:

• Strong foundation in Deep Learning and sequence modelling, with experience applying them to real-world problems.
• Deep knowledge in Handwriting Recognition, Handwriting Synthesis, Document Layout Analysis and/or related areas.
• Research track record via publications and/or open-source contributions in Document AI or relevant fields.
• Strong grasp of computer science fundamentals with a robust background in software engineering.
• Proficiency in Python and at least one Machine Learning framework such as PyTorch, TensorFlow and JAX.
• Working knowledge of C++, Rust or Swift is a plus.
• Knowledge of model optimization for on-device deployment.
• Excellent communication skills in English.

Even if you don’t meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed.

• An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you’d like to join Goodnotes
• A short Algo/Data structure interview with an Engineer
• An ML technical interview with one of our ML engineers. This is where you get to see what it would be like working at Goodnotes as well as the chance to ask any questions you may have about our ML R&D
• A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as supporting you throughout your career at Goodnotes
• Values interview to align with the company culture with a few team members of the team you would be joining or a member of the leadership team.

• Meaningful equity in a profitable tech-startup
• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite
• Company-wide annual offsite
• Flexible working hours and location
• Medical insurance for you and your dependents

Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.

By submitting your application, you acknowledge that you have read and understood our Candidate Privacy Notice, which provides important information about the data we collect during the application process. You can find it here .

Create a Job Alert

Interested in building your career at Goodnotes? Get future opportunities sent straight to your email.

*

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Where did you hear about this job opening? *

If remote, which country would you be working from? *

Will you need a visa sponsorship? * Select.

What is your expected salary (please do not include this on your CV/resume)? *

Please include your local currency, or the currency of the location you are open to moving to

What is your notice period (in months)? *

Please indicate your working preference

Office-based in Hong Kong (WFH available)

Office-based in London (WFH available)

Fully remote in Europe

Fully remote in Asia

Choose all that apply.
Please note: We can only offer remote roles in Europe or Asia

Do you have any professional research experience in any of the following technologies? *

1. Handwriting recognition or synthesis

2. Document Layout Analysis,

3. Stroke Classification

5. None of the above

Website

LinkedIn Profile

Goodnotes is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.
To help us ensure a fully diverse, equitable and inclusive working environment, we invite you to fill out this voluntary survey so we can track and further our Diversity, Equity and Inclusion efforts. The information shared here cannot and will not affect your job application in any way. It’s also 100% anonymous, and is not linked to your name, identity or application.

Select the gender that you most identify with: Select.

Select your sex: Select.

Select your sexual orientation: Select.

Select the ethnicity that you identify with: Select.

Select the race or ancestry that best describes you: Select.

Please select any of the following disabilities or impairments you have: Select.

Select the religious group you identify with: Select.

Join to apply for the Lead Engineer/ Senior Engineer, Machine Learning on Audio/Speech role at ASTRI - Hong Kong Applied Science and Technology Research Institute

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 is grouped under five Technology Divisions: Communications Technologies, Artificial Intelligence and Trust Technologies, Advanced Electronic Components and Systems, IoT Sensing and AI Technologies, and Innovative Mind.

It is applied across six core areas: 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 1500 technologies to industries and been granted more than 1100 patents in Mainland China, the US, and other countries.

Job Responsibilities

- Support R&D projects.
- Conduct research on speech signal processing and intelligent human-machine interaction.
- Design and optimize machine learning frameworks for end-to-end speech recognition.
- Optimize cloud services or offline inference of transformer-based AI models.
- Deploy AI services on Linux with Docker.
- Troubleshoot and resolve issues with end-to-end model training.

Job Requirements

- Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
- 3+ years experience in speech signal processing, end-to-end AI models, and machine learning frameworks such as WeNet, Kaldi, K2-fsa, Transformer, OpenAI/Whisper, etc. Candidates with less experience may also be considered.
- Knowledge of Python, Java, C/C++, C# is a plus.
- Good command of English and Chinese; Cantonese preferred.
- Strong problem-solving and critical thinking skills.
- Ability to work independently and in teams.
- Alignment with ASTRI values.

The position offers a renewable contract with a competitive salary, performance-linked variable pay, and benefits including paid leave, medical insurance, and MPF contribution. Normal workweek is five days.

Interested applicants should submit their detailed CV within two weeks. Only shortlisted candidates will be notified. ASTRI reserves the right not to fill the position.

This is an equal opportunity employer. Personal data will be used solely for recruitment purposes. Refer to ASTRI Privacy Policy for details.