259 AI Research jobs in Singapore

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will :

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications :

• Bachelor's degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration :

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note : Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

• Collaborate with team members on AI model development and experimentation
• Assist in data preprocessing, model training, and performance evaluation
• Conduct literature reviews to stay up-to-date with recent AI advancements
• Develop tools and scripts to streamline workflows
• Document findings, experiments, and model behaviour

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Familiarity with deep learning frameworks or research publications
• Possess strong problem-solving and strategic thinking abilities.
• Highly motivated

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Electrical & Electronic Engineering, AI, Data Science, or a related field
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers. You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) methods, and Computer Vision (CV) models to solve real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor's degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiarity with machine learning concepts, including deep learning techniques.
• Strong programming skills, with a solid understanding of databases such as MongoDB or Neo4j.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week and preferably full-time.
• We are flexible with start and end dates, and can accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

Role Overview

As an AI Research & Development Intern, you will play an integral role in AI experimentation, model development, and optimization. You will work alongside experienced engineers in a hands-on environment, contributing to groundbreaking advancements in AI.

Key Responsibilities

• Collaborate with team members on AI model development and experimentation
• Assist in data preprocessing, model training, and performance evaluation
• Conduct literature reviews to stay up-to-date with recent AI advancements
• Develop tools and scripts to streamline workflows
• Document findings, experiments, and model behaviour

Required Skillsets/Attributes

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Familiarity with deep learning frameworks or research publications
• Possess strong problem-solving and strategic thinking abilities.
• Highly motivated

Preferred Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's in Computer Science, Electrical & Electronic Engineering, AI, Data Science, or a related field
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.

• Develop and fine-tune large language models (LLMs) and reinforcement learning agents for in-game character interaction and dialogue systems.
• Design AI-driven recommendation systems to optimize content discovery and game engagement.
• Build retrieval-augmented generation (RAG) pipelines for dynamic NPC conversations and player queries.
• Integrate speech recognition and text-to-speech models into mobile applications for real-time interaction.
• Deploy AI models using scalable, cloud-native infrastructure (e.g., AWS, GCP, Docker, Kubernetes).
• Collaborate with game developers, UX designers, and product teams to deliver AI-powered features.
• Research and prototype AI solutions related to user personalization, matchmaking, and emotion detection.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field .
• 2+ years of experience in applied AI/ML development (LLMs, RL, NLP, or computer vision).
• Proficiency in Python and frameworks such as PyTorch , TensorFlow , or Transformers (Hugging Face) .
• Experience with LLM fine-tuning , prompt engineering, or retrieval systems.
• Familiarity with cloud platforms and model deployment best practices.
• Strong understanding of machine learning workflows: data preprocessing, model training, evaluation, and optimization.

A challenging role in research and development awaits the ideal candidate. The Research Assistant position offers an exciting opportunity to be part of a dynamic team, pushing the boundaries of technology and innovation.

This is a critical role that requires a highly motivated individual with excellent analytical and problem-solving skills. As a Research Assistant, you will have the opportunity to contribute to cutting-edge projects and collaborate with experienced researchers and engineers.

• Data Analysis: You will study and analyze data flow patterns in emerging data-intensive applications, applying your knowledge of parallel and distributed computing to optimize performance.
• System Development: Design and develop parallel file systems for node-local NVMe, leveraging your expertise in algorithm design and optimization.
• Performance Evaluation: Evaluate the performance implications of alternative storage semantics, providing actionable insights to inform future development.
• Knowledge Sharing: Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals.

To succeed in this role, you must possess a Bachelor's degree in Computer Science or a related field from a reputable university. Strong knowledge of parallel and distributed computing, algorithm design, and performance analysis is essential. Additionally, you should demonstrate the ability to conduct innovative research, work effectively in a team environment, and communicate complex ideas clearly.

This role offers a unique chance to be part of a vibrant community of researchers and innovators, shaping the future of technology and driving progress in AI, Data Science, and Computing. If you are passionate about making a meaningful impact and taking on new challenges, this could be the ideal opportunity for you.

Research Associate

We are seeking a highly skilled and motivated research associate to join our team. The successful candidate will work closely with professors at the Department of Industrial Systems Engineering and Management on cutting-edge research projects related to AI technological innovations, entrepreneurship, and disruptions in firms and economy under the current global order influenced by the U.S. and China.

The selected candidate will have good programming skills such as SQL, Python, and/or Java, as well as competence with statistical packages like STATA or R (STATA preferred). Skill and experience with management and strategy research, economic modeling, and statistical analyses are essential. Familiarity with data mining, machine learning, and computation techniques, especially in the context of patents, publications, citations, and networks is a plus.

• A Ph.D. degree in management/business, industrial systems engineering and management, policy, social science, or related fields is desired.
• Prior experience as a researcher, post-doctorate, or faculty in these related fields is a plus.
• Prior experience working on research projects in an academic or industry setting is a plus.

The compensation package includes competitive salary and standard health insurance benefits provided by NUS.

Deep Reinforcement Learning and Large Language Models Researcher Opportunity

We are seeking a highly motivated Research Fellow to join our team in conducting independent research in deep reinforcement learning and large language models. This is an exciting opportunity for individuals with a strong background in AI and Data Science to contribute to groundbreaking research projects.

As a Research Fellow, you will be responsible for:

• Conducting original research in deep reinforcement learning and large language models
• Producing high-quality publications in top conferences and journals
• Providing guidance and support to students involved in the project
• Collaborating with industrial and academic partners
• Performing other duties related to the research program

The ideal candidate will have a strong publication record in relevant conferences/journals and excellent teamwork and verbal/written communication skills. A PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent is also required.

To succeed in this role, you will need:

• A PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent
• Independent, highly analytical, proactive, and a team player
• Excellent teamwork and verbal, written communication skills
• Strong background in deep reinforcement learning and large language models
• Strong publication record in relevant conferences/journals

Only shortlisted candidates will be notified of further steps in the process.

Join a pioneering team of researchers in the field of artificial intelligence.

About the Role:

We are seeking a highly skilled researcher to join our team and contribute to the development of cutting-edge large language models. The ideal candidate will have a strong background in machine learning, natural language processing, and computer vision.

Key Responsibilities:

• Drive core technology development for large language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
• Foster collaboration with cross-functional teams to improve code comprehension, reasoning, and generation capabilities in real-world production codebases.
• Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

Requirements:

• PhD/Master's degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD) in machine learning, computer vision, and natural language processing.
• Excellent programming skills, data structure, and algorithm skills, proficient in C/C++ or Python programming language.
• Research experience in the field of machine learning, especially in large language models and generative artificial intelligence.

Preferred Qualifications:

• Excellent problem analysis and solving skills, and passionate about solving challenging problems.
• Passionate about technology, good communication skills, and teamwork spirit.

Why Join Us?

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. We are passionate about this and hope you are too.

Benefits:

• A collaborative and dynamic work environment.
• The opportunity to work on cutting-edge AI projects.
• Professional growth and development opportunities.