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AI Research Scientist - Video Generation

About Us

We are a cutting-edge AI startup specializing in next-generation video generation technology based in Hong Kong Science and Technology Park. Our mission is to push the boundaries of what's possible in AI-driven video generation through innovation of foundation model. As a growing startup located at Hong Kong Science Park, we offer a dynamic research environment where your contributions can advance the state-of-the-art in AI technology.

Position Overview

We are seeking a dedicated AI Research Scientist to join our foundation model research team. The ideal candidate will have hands-on experience in training large-scale models and a strong passion for advancing fundamental research in foundation models. This position is designed to support early-career researchers in developing their expertise while contributing to cutting-edge AI research.

Key Research Responsibilities

• Conduct fundamental research in large-scale foundation model architectures and training methodologies
• Design and implement novel approaches to video generation using transformer-based architectures
• Develop and optimize model training algorithms for distributed computing environments
• Investigate scaling laws and efficiency improvements for foundation model training
• Research innovative techniques to enhance model capabilities and performance
• Implement and evaluate state-of-the-art methods in multimodal AI and video synthesis
• Collaborate with research team members on joint research projects and publications
• Contribute to the development of proprietary research datasets and evaluation metrics
• Conduct experimental validation of theoretical approaches and document findings
• Participate in research discussions and present findings at internal research meetings
• Publish research paper on top-tier AI/ML conferences or journals

Required Qualifications

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field
• 2+ years of research experience in large-scale model training, preferably at:
• International research institutions or tech companies (e.g., Google Research, Meta AI, Microsoft Research, OpenAI, Anthropic) OR
• Leading Chinese research labs or tech companies (e.g., ByteDance AI Lab, Alibaba DAMO Academy, Baidu Research, Tencent AI Lab, SenseTime Research, Huawei Noah's Ark Lab)
• Strong research background in distributed training systems and large-scale model optimization
• Deep understanding of transformer architectures, attention mechanisms, and their variants
• Proven research experience in developing and training foundation models
• Proficiency in PyTorch and/or JAX for research implementation
• Publication record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) or strong research portfolio

Preferred Research Qualifications

• Research experience bridging Chinese and international AI research communities
• Knowledge of Chinese AI research infrastructure and platforms (e.g., ModelArts, PAI, ByteMLab)
• Research background in scaling laws and efficient training methodologies
• Specialized research experience in video generation models or multimodal architectures
• Active contributions to open-source research projects and ML frameworks
• Research experience in ML systems and infrastructure optimization
• Knowledge of mixed-precision training techniques and model parallelism strategies
• Experience with custom CUDA kernel development for research applications

Technical Research Skills

• Foundation Model Research: Transformer architectures, attention mechanisms, scaling methodologies
• Distributed Training Research: Multi-GPU/multi-node training, model parallelism, gradient synchronization
• Cloud Research Infrastructure:
• International platforms (AWS/GCP for research computing)
• Chinese platforms (Alibaba Cloud, Tencent Cloud, Huawei Cloud)
• Programming: Python, CUDA, C++ (beneficial for optimization research)
• Research Frameworks:
• Standard: PyTorch, JAX, Hugging Face Transformers, DeepSpeed, Megatron-LM
• Chinese ecosystem: PaddlePaddle, MindSpore (advantageous)
• Research Tools: Git, Docker, Jupyter, Weights & Biases, MLflow, TensorBoard

Research Environment & Support

• Access to substantial GPU computing resources for large-scale experiments
• Opportunity to conduct cutting-edge research in video generation and foundation models
• Collaborative research environment with opportunities for co-authored publications
• Support for attending international AI/ML conferences and workshops
• Access to research datasets and computational infrastructure
• Mentorship opportunities with senior researchers in the field
• Regular research seminars and technical discussions
• International collaboration opportunities with leading research institutions

Research Impact Goals

• Advance the state-of-the-art in foundation models for video generation
• Contribute to high-impact research publications in top-tier venues
• Develop novel methodologies that can be translated into practical applications
• Build expertise in large-scale AI model research within the Hong Kong innovation ecosystem

Application Requirement

Please submit:

1. Comprehensive CV highlighting research experience and publications
2. Research statement (2-3 pages) outlining your research interests and vision for foundation model research
3. List of significant research projects with detailed descriptions of your contributions
4. Links to Google Scholar profile, GitHub repositories, and any published code
5. Contact information for 2-3 research references

To apply or inquire about this research position, please contact

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 Description

Responsible for research and exploration of cutting-edge artificial intelligence technologies, developing innovative AI models and algorithms inspired by Eastern philosophy.

Responsibilities

• Research and develop AI algorithms and models that integrate Eastern wisdom.
• Design and implement experiments with advanced AI technologies.
• Publish high-quality research papers and apply for relevant patents.
• Collaborate with product teams to transform research outcomes into product features.
• Track and evaluate the latest trends in the AI field.

Requirements

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Solid research background in Deep Learning, Natural Language Processing, or Computer Vision.
• Experience with large-scale model research is a strong plus.
• Knowledge of or strong interest in traditional Eastern philosophy.
• Strong teamwork skills and innovative thinking.

We are seeking an AI Research Scientist to join our cutting-edge development team focused on Educational AI. This role will involve innovative research across six core areas: student cognitive modeling, intelligent grading systems, personalized learning, intelligent question generation, system integration, and explainable AI.

Job Description:

• Design and develop advanced AI and machine learning models to improve grading accuracy in complex educational scenarios.
• Apply deep learning and reinforcement learning techniques to analyze students' responses, understand their reasoning, and provide meaningful insights.
• Develop evaluation models capable of handling multimodal data, such as images and videos, to enhance the system's overall assessment capabilities.
• Stay updated with the latest academic advancements in AI and incorporate cutting-edge technologies into education-focused solutions.
• Design and implement methods to make AI decision-making processes more transparent and interpretable for educators and students.
• Work closely with software engineers, education specialists, and product managers to translate cutting-edge AI research into practical, scalable solutions that align with real-world educational needs and teaching practices.

Requirements:

• A Master's degree (MPhil) in machine learning, AI, or a related field
• Research Assistant experience in AI-related fields or prior work as a data scientist.
• Strong understanding of natural language processing (NLP), multimodal models, and generative AI models.
• Expertise in advanced machine learning techniques, deep learning frameworks, and statistical modeling.
• Familiarity with educational AI applications and research processes.

Personal attributes:

• Good communication skill, Energetic, outgoing, and positive attitude with the ability to work with people
• Quality-oriented and initiative, responsible, and able to work independently
• Good time management and willing to work under pressure and meet project schedule

Benefits:

• Join our friendly and flexible team in a hybrid work environment.
• We will provide thorough on-the-job training to help you advance in your career.
• A flexible work environment with perks such as snacks, plenty of coffee, and a variety of great benefits, including annual leave, birthday leave, paid sick leave, family care leave, marriage and anniversary leave, and more.
• A vibrant work environment with transparency, inclusivity, and exciting events.

Our company is growing, and each employee is given significant responsibility and autonomy. You will be expected to pitch in and assist the entire team as needed. Interested parties please send your resume and portfolios stating current salary, expected salary and date available.Please visit for more information.

工作類型: 全職

薪酬: $22,000.00至$30,000.00(每月)

福利:

• 有薪年假
• 晉升機會

工作經驗:

• Development: 3 年 (必要條件)

語言:

• Cantonese (必要條件)

Work Location: 親身到場

Job Summary
The AI Research Associate in Biotech will play a pivotal role in identifying, evaluating, and developing AI-driven solutions to address complex challenges in biotechnology. This position will focus on accelerating drug development, improving efficiency and reducing costs through intelligent, data-driven approaches.

The ideal candidate has a strong foundation in artificial intelligence and machine learning, a passion for life sciences, and the ability to thrive in a collaborative, cross-functional environment. You will contribute to building next-generation AI technologies that power the future of drug development.

Key Responsibilities

• Conduct applied research on AI and machine leaning techniques with applications in biotech.
• Design and develop internal AI platforms and tools tailored for biotech R&D.
• Collaborate closely with biologists, computational scientists, and data engineers to translate biological questions into AI solutions.
• Stay current with the latest advancements in AI, deep learning, and computational biology.
• Contribute to scientific publications, patents applications and internal knowledge sharing.
• Maintain rigoros documentation of methodologies, experiments, and outcomes.

Requirements

• Master's or PhD in Computer Science, Computational Biology, Data Analytics, Statistics, or related field.
• Solid foundation in machine learning, deep learning, and statistical modeling.
• Demonstrated experience applying ML techniques to biological or healthcare data (e.g., through academic research or industry projects).
• Strong programming skills in Python and hands-on experience with ML frameworks, such as PyTorch, TensorFlow, or JAX.
• Proficiency in data analysis, feature engineering, and experimental design.
• Excellent problem-solving skills, with the ability to work independently and collaboratively in a team.
• Strong written and verbal communication skills.

Responsibilities:

• 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.
• 负责人工智能核心技术研究与开发,包括机器学习算法设计、深度学习模型优化、大模型训练与部署,以及AI系统架构设计;
• 探索AI技术在垂直领域(如5/6G,web3.0,教育,医疗,法律,金融,AI4Science等)的应用场景,设计端到端解决方案并推动落地验证;
• 主导AI平台与工具的研发,涵盖数据治理、模型训练、推理加速、自动化评估等全链路技术攻关;
• 开展跨团队协作,推进产学研合作、开源社区贡献、学术论文发表及专利布局;
• 完成领导交办的其他任务。

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.
• 全日制硕士或以上学历,计算机科学、数学、统计学、人工智能、数据科学等专业优先;具有开源社区贡献经验者优先;
• 具备扎实的机器学习、深度学习理论基础,熟悉主流算法模型(如CNN/RNN/Transformer/GAN等),有计算机视觉(CV)、自然语言处理(NLP)、大模型,强化学习等领域研发经验者优先;
• 熟练使用TensorFlow/PyTorch等框架,掌握Python/C++等编程语言,具备分布式训练、模型压缩、边缘端推理等工程化经验;具有大模型(如LLM、多模态模型)开发经验者优先;
• 具备AI与垂直领域(如5/6G,web3.0,教育,医疗,法律,金融,AI4Science)结合的实践经验者优先;
• 具备优秀的沟通和协调能力,具备流利的英语听说读写能力,可使用英文开展日常科研工作。

AI Engineer/Research Programmers/Research Data Scientist/Big Data engineer

Requirements:

Knowledge in Artificial Intelligence, blockchain and cybersecurity, modern software development, extremely

enthusiastic in programming and learning new technology. smart contract development is an advantage

Knowledge and research experience in various Al algo, Computer Vision, Recommender System, blockchain and Knowledge Graph.

Willing to learn different streams of programming languages and participate in various software system development includes but not limited to Al, web apps, DApp, mobile apps, server system and cybersecurity solutions.

Abilities to work as a team with young teammates and mature supervisor. locally and remotely.

PhD, Master or Bachelor degree in Computer Science, Applied Mathematics, Mathematics, Statistics, Engineering, Technology, Operations Research, Management Science, Knowledge Graph, or any IT or STEM related disciplines.

Result oriented. Flexible working hours acceptable

Working experience: 0 to 5 years

Experience in Education is a plus

"Start-up mentality and self-driven learner is a must.

Working office: Cyberport

Job responsibilities:

(a) Collect internal and external customers business requirement

(b) Prepare functional specifications and test plan

(c) Develop, Implementation of backend applications

(d) Participate in management and operational meetings to report responsible tasks progress and prepare report of meetings

(e) Perform full software development life cycle, design, coding, testing and implementation of backend and frontend system

(f) Compile and analyze data, processes. and codes to troubleshoot problems

(g) Develop administrative interface tor administration and management access

(h) Research on recent development of technology to the adoption on company projects.

(i) Research and publish paper and patent for Al algorithm, included but not limited to Computer vision, Recommender System, blockchain and Knowledge Graph.

(i) Provide IT services to the company when required

(k) Coding with languages such as C#, Python, Tensor flow, R, , Solidity, Java, JavaScript or Go.

Interested parties, please apply together with a detailed resume, stating current and expected salary, and send it via

All personal information received will be treated in strict confidence for employment purpose only. Your application can be

considered as unsuccessful if you have not been reached within 3 months.

On the other hand, it may be transferred to other companies of our group for job openings. Unsuccessful applications will be

destroyed for a period not more than 12 months.

工作類型: 兼職

薪酬: $20,000.00至$32,000.00(每月)

Work Location: 親身到場

預期開始日期: 2025/08/02

Key Responsibilities:

- Design, develop, and deploy models from MVP to production, ensuring continuous support and adaptation to changing business needs.- Provide expert analytics, including machine learning and statistical modeling, to solve business problems and optimize outcomes.

- Partner with business teams to translate business challenges into quantitative solutions and communicate effectively across technical and non-technical audiences.

Requirements:

- Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related fields.

- 2-4 years of experience deploying models to production 

- Strong skills in Python, R, Spark, and big data tools.

- Experience with AWS and data visualization tools (e.g., Alteryx, PowerBI) is a plus.

Candidate with less experience will be considered as Junior Data Scientist

Interested parties please send your full resume with your current and expected salary to

About LRQA

We are the leading global assurance partner, bringing together decades of unrivalled expertise in assessment, advisory, inspection and cybersecurity services. Our solutions-based partnerships are supported by data-driven insights that help our clients solve their biggest business challenges. Our award-winning compliance, supply chain, cybersecurity and ESG specialists help more than 61,000 clients across almost every sector to anticipate, mitigate and manage risk wherever they operate.

Purpose of role

Lead the technical development and optimization of our adverse media screening services by leveraging advanced data science, AI, and machine learning techniques. Stay updated on technological advancements to continuously enhance product design, risk detection accuracy, and delivery performance in a dynamic regulatory environment.

Key Responsibilities:

• Spearhead the technical roadmap for our adverse media screening solution, driving innovation and implementing cutting-edge algorithms that keep us ahead of the competition.
• Develop and fine-tune ML models and NLP systems that effectively detect and analyze adverse media across global sources, with particular focus on multi-language content and regional nuances.
• Keep a finger on the pulse of emerging technologies in AI, NLP and data science fields that could enhance our risk screening capabilities and user experience.
• Streamline data processing pipelines to handle the increasing volume and complexity of media sources without compromising on performance or accuracy.
• Work hand-in-hand with our compliance, legal and risk management teams to ensure our technical solutions address regulatory requirements and evolving risk frameworks.
• Tackle the persistent challenge of false positives by enhancing contextual understanding through advanced entity resolution and sentiment analysis techniques.
• Architect and build resilient ML infrastructure that supports real-time monitoring with minimal latency and maximum reliability.
• Champion rigorous testing methodologies and model validation processes that deliver transparency and meet regulatory standards.
• Coach and develop talent within our technical teams, fostering a culture of continuous learning and technical excellence.

Required Skills and Experience:

• Solid track record in applied data science, ML and NLP, ideally within compliance technology, or risk screening sectors.
• Hands-on experience addressing the unique challenges of adverse media analysis, including disambiguation of entities and processing text across multiple languages and sources.
• Technical proficiency in sentiment analysis, named entity recognition, classification algorithms, and anomaly detection systems.
• Strong Python development skills and practical experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Working knowledge of big data technologies and experience building systems that process information in near real-time.
• Demonstrated ability to implement transparent, explainable AI solutions that meet regulatory requirements in highly regulated industries.
• Sharp problem-solving abilities, strategic mindset, and excellent stakeholder management skills.
• Previous experience leading technical initiatives or managing technical teams in a product environment is highly desirable.