229 AI Research jobs in Singapore

Job Overview

We're seeking talented AI Research Scientists to drive innovation in AI research and development. You'll conduct cutting-edge research, develop AI-enabled products, and collaborate with world-class organisations.

Key Responsibilities

- Conduct research in recommendation & search, natural language processing, computer vision, and large language models

- Develop AI-enabled products and services with cross-functional teams

- Collaborate with academia and industry partners on projects

Requirements

- PhD degree in Computer Science, Statistics, Applied Mathematics, or equivalent research experience

- 3+ years of experience in AI research and development, with expertise in areas of Recommendation & search, AIGC, High-performance Computing, Vision Large Language Models, Machine learning or similar areas

- Strong programming skills in languages such as C/C++, Java, or Python

- Ability to generate new ideas and innovate

Ideal Candidate

- Passionate about advancing AI research and development

- Strong track record of research and innovation

- Excellent collaboration and communication skills

You will lead the strategic direction and execution of AI-driven initiatives at Certis, focusing on the rapid prototyping, development, and integration of AI capabilities across Certis' existing and future technology platforms. This role is critical in driving Certis’ AI adoption, ensuring that AI becomes a core enabler of innovation and operational efficiency. The individual will work closely with cross-functional teams to explore, experiment, and productize AI solutions, embedding AI technologies into Certis' software and hardware ecosystems to elevate security, automation, and operational intelligence.

Responsibilities we will trust you with:

• Lead the rapid prototyping of AI solutions to enhance Certis' product offerings and operational capabilities.
• Drive the integration of AI technologies into Certis' existing and future technology platforms, ensuring that AI enhances the efficiency, security, and scalability of Certis' solutions.
• Collaborate with software development teams and business users to explore and productize AI capabilities, ensuring seamless integration into Certis' enterprise applications.
• Provide technical leadership on AI projects, from ideation to productization, deployment and maintenance.
• Oversee the development of reusable and scalable AI modules / services to enhance organizational agility and reduce development time for future projects.
• Engage with stakeholders across departments to identify areas where AI can drive value and address business challenges.
• Ensure AI solutions are compliant with industry standards, regulatory frameworks, and data privacy policies. Champion AI best practices across the organization, promoting AI literacy and fostering a culture of AI-driven innovation.

Your areas of knowledge and expertise that matter most for this role:

• 8+ years of experience in software development, with at least 2 years touching on AI, machine learning, or deep learning technologies.
• Proven track record of leading enterprise software projects from concept to deployment, particularly in an enterprise environment.
• Strong understanding of enterprise software development processes, including agile methodologies, DevOps practices, and continuous integration/delivery pipelines.
• Experience in collaborating with cross-functional teams to integrate AI solutions into large-scale software platforms.
• Deep knowledge of AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Proficiency in programming languages commonly used in AI, such as Python, Java, or C++.
• Experience with cloud-based AI/ML platforms (AWS is preferred).
• Strong understanding of data engineering, data science, and machine learning model lifecycle management.
• Passion for AI, particularly in building AI-enabled products that address real-world challenges.
• Excellent leadership and communication skills, with the ability to inspire and lead a team of AI engineers and developers.
• Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment.
• Ability to work collaboratively across different departments, promoting synergies and shared learning.

Life at Certis

• Unlock Your Growth Potential: Benefit from unparalleled support for your professional development with Certis Corporate University, the first of its kind in Asia.
• Empower Change: Make a lasting impact through innovative initiatives that transform local communities and global industries.
• Join a Culture of Innovation: Be a part of our team of innovators, working together to drive technological advancements towards a Safer, Smarter, And Better tomorrow for all.

Lead AI research initiatives that push the boundaries of artificial intelligence applications in casual gaming. Working with our Singapore technology team, you’ll explore cutting-edge AI techniques and develop novel algorithms that give our Beijing R&D center competitive advantages in Match-3 and Bingo categories while pioneering new casual gaming experiences.

• Advanced AI Algorithms: Novel machine learning approaches for game content generation, player modeling, and game optimization
• Player Intelligence Systems: Deep learning models for understanding player behavior patterns and predicting engagement
• Content Generation Research: Cutting-edge generative AI techniques for automated game asset and level creation
• Game AI Innovation: Research into AI-driven game mechanics, dynamic difficulty adjustment, and personalized gameplay

• Research and develop novel AI algorithms specifically for casual gaming applications
• Design and implement advanced machine learning models for player behavior analysis and content generation
• Explore state-of-the-art AI techniques including large language models, diffusion models, and reinforcement learning
• Collaborate with Beijing game design teams to identify AI research opportunities that solve real gaming challenges
• Prototype and validate AI concepts through experimentation and data analysis
• Stay current with AI research literature and translate academic breakthroughs into practical gaming applications

• Experience: 3+ years of relevant working experience in AI/ML research or advanced algorithm development
• Technical Skills:

1. Expert-level programming skills in Python
2. Deep experience with machine learning frameworks (PyTorch, TensorFlow)
3. Strong understanding of deep learning architectures and training techniques
4. Experience with Large Language Models (LLMs), generative AI, or computer vision
5. Knowledge of statistical analysis and experimental design

• Research Mindset: Ability to formulate research questions, design experiments, and interpret results
• AI Expertise: Deep understanding of current AI trends and ability to adapt cutting-edge research to gaming contexts

• Postgraduate degree (Master’s/PhD) in AI, Machine Learning, Computer Science, or related field
• Publications in AI/ML conferences or journals
• Experience with reinforcement learning, generative adversarial networks, or transformer architectures
• Background in game AI, procedural content generation, or player modeling
• Experience with distributed training and large-scale ML systems
• Fluent in both English and Chinese to liaise with teams in the Beijing R&D center, with strong cross-cultural communication skills

• Resume highlighting relevant experience
• Cover Letter explaining interest in casual gaming and global market expansion
• Portfolio/GitHub showcasing relevant technical projects
• References from previous technical roles
• Please include any research publications, technical blog posts, or open-source contributions.

We welcome candidates from diverse backgrounds who are passionate about gaming technology, even if you do not have direct experience in the gaming industry. We value potential and the ability to learn just as much as existing industry experience.

The Home Team Science and Technology Agency (HTX) is a statutory board under the Ministry of Home Affairs (MHA) which aims to pioneer innovative solutions and develop world-class science and technology capabilities to transform and empower the Home Team in delivering safety and security for Singapore.

Being part of 3i , the technology development domain of RAUS CoE focuses on advancing robotics and unmanned systems through innovative research, design, and development. Within this domain, the embodied AI R&D pillar integrates cutting-edge AI models into robotic platforms, enabling seamless interaction with the physical world. The role involves designing robot planners for autonomous task execution, developing robot skills for Home Team operations, and managing datasets for AI model training. Key responsibilities include optimizing embodied AI systems through advanced techniques like reinforcement learning, Sim2Real transfer, and domain randomization, while leveraging high-accuracy physics and rendering engines.

In addition, the role includes deploying these systems in real-world environments, ensuring scalability, robustness, and continuous performance enhancements based on operational feedback.

What you would be doing:

• Develop algorithms that enable robots to perceive their environment, process sensory data, and make decisions in real time.
• Implement machine learning models such as reinforcement learning, or imitation learning to train robots for specific tasks.
• Implement grounding on embodied AI systems to ensure high-level reasoning is accurately transformed into physical actions.
• Design and integrate AI models with robotic hardware, including sensors, actuators, and control systems.
• Develop and fine-tune robot planners that translate task plans into actionable motions and control systems.
• Ensure embodied AI systems adhere to hardware constraints and respond efficiently to dynamic environments.
• Deploy AI models onto physical robots, ensuring that they can scale and perform reliably across different platforms and operational scenarios.
• Monitor the performance of embodied AI systems in real-world environments and iterate for continuous improvement.

What are we looking for:

• Tertiary Education in engineering; preferably Degree in Electrical / Electronics / Mechanical / Mechatronics / Robotics / Computer Science / Artificial Intelligence (AI) or related fields.
• Post-graduate degree would be an advantage.
• A strong academic and research background in robotics or AI would be an added advantage.
• Minimum of 2 years’ experience in robotics, AI, or related fields.
• Good understanding of machine learning, reinforcement learning, computer vision, sensor fusion, robotics simulation (e.g., Issac SIM, MuJoCo), and model deployment.
• Experience in developing robotics involving sensor fusion and AI would be an added advantage.
• Excellent team player.
• Self-motivated and committed with a sense of urgency to deliver the desired outcome.
• Ability to work under pressure and meet tight deadlines as well as being results-oriented.
• A creative, problem-solving mindset with the ability to navigate technical challenges and uncertainty.
• Strong analytical, planning, and project management skills. PMP, system engineering, or equivalent certification would be an advantage.

*** All new appointees will be appointed on a two-year contract in the first instance. We wish to inform that only shortlisted candidates will be notified within 30 days upon closing of the advertisement.

Mid-Senior level

Full-time

Information Technology

Technology, Information and Media, IT Services, and IT Consulting

Who are we?

We are the University of Cambridge research centre in Singapore called Cambridge CARES, sponsored by the NRF CREATE program CAM.CREATE. Health-driven design for cities (HD4) is a collaborative research programme between the University of Cambridge, Nanyang Technological University and National University Singapore within Cambridge CARES. HD4 will deliver highly actionable data and evidence on the social determinants of health in Singapore, which have the potential to improve the public’s health.

HD4 is motivated by the rising burden of non-communicable diseases on individuals and wider society in Singapore. HD4 will study the relationship between the environment, health behaviours and health outcomes, identifying and addressing key risk factors to understand and influence the upstream determinants of health in Singapore. It will exploit a unique opportunity to work synergistically with the SG100K cohort study, augmenting it with data characterizing the individual environmental exposures of the cohort participants. HD4 will use an established co-creation approach to work with government agencies to ensure that the tools and public health models that it develops are influential in translating research into action. Overall, the HD4 project has the potential to identify how Singapore can be developed to optimize health and be a research-driven exemplar for other Asian cities.

Who are we looking for?

CARES is offering an exciting opportunity to join a vibrant research group, giving you the opportunity to contribute to this applied research project of direct relevance to government policy and public health. We are seeking to appoint a Research Fellow with a track record of using geographical information systems (GIS) or spatial data science techniques, and with a strong quantitative background, to contribute across HD4 work packages that contain a geographical component.

You will be educated to PhD level and have a proven track-record of manipulating, mapping and summarizing large volumes of complex location and attribute data (through use of dedicated GIS software or other programming language). Ideally, you will have experience of conducting spatial network analyses (e.g. least-cost path, location-allocation) and you might have some programming experience (e.g. Python, Java, C). You will also have strong quantitative analytical skills. You will have experience of writing up research outputs for a variety of audiences, including as peer-reviewed publications (including manuscripts submitted, under review or in press). Excellent time management, oral and written communication skills, with a track record of problem solving, managing your own workload, working independently and meeting deadlines, will be required.

The post is available until the end of April 2027 with a start date of April/May 2025. The role is under the supervision of work package leads in Singapore (including Dr Rudi Stouffs, Dr Marie Loh) and the UK (including Dr Ronita Bardhan, Dr James Woodcock, Dr Louise Foley, Dr Jenna Panter) and you will be line managed remotely by Dr Thomas Burgoine (University of Cambridge). The PIs on the HD4 project are Professor Nick Wareham (Cambridge) and Professor John Chambers (Singapore).

Key Responsibilities:

Core responsibilities will include identifying potential environmental data sources (e.g. retail, transport network) in conversation with local stakeholders, and derivation of granular exposure estimates at person and small area levels on relevant environmental characteristics to underpin epidemiological analysis of related health behaviours. Characteristics of the environment are likely to include many aspects of feature accessibility including food retail, facilities that promote physical activity, and green space. These data will be used to link neighbourhood environmental exposures to the individual records of SG100K participants, supporting analyses of relationships with health behaviours (physical activity, sedentary behaviour, sleep, diet and fitness). You will also be expected to contribute to detailed data collection, development of study protocols and the conduct of subsequent spatial epidemiological analyses.

The key responsibility is to undertake the research described, under the management of the work package leads. The post holder will contribute to the overall aims and successes of the research project as allocated to them, such that they deliver their aims and objectives to the agreed timescales. Where relevant, the post holder will be expected to develop new skills required to meet project targets.

The post holder will be responsible for writing manuscripts for peer-reviewed publication, based on the research conducted; presenting their research results at internal meetings, external conferences and other engagement events; and discussing their work and findings with external academic and non-academic stakeholders.

What skills will you need?

· Education and Qualifications : PhD in public health or a related subject (e.g. health geography, transport geography, spatial data science, GIScience, epidemiology, spatial epidemiology)

· Specialist knowledge and skills:

- Strong working knowledge of a geographic information system (e.g. ArcGIS, QGIS), or appropriate programming language (e.g. R, Python) for manipulating, mapping and summarizing spatial data

- Specific knowledge of network analyses in a standalone GIS (e.g. ArcGIS, QGIS) or programmatically (e.g. R, Python)

- Familiarity with secondary data sources pertaining to environmental characteristics in SG

- Programming experience (e.g. Python, C, C++, Java) OR demonstrable track record of having understood and adopted advanced technologies in research

- Strong quantitative background and experienced in the use of software (e.g. Stata, R) or programming code (e.g. Python), for statistical analyses

- Excellent time management skills

- Ability to make own workload

- Topic knowledge in the field of neighbourhood determinants of health

· Communication and Interpersonal skills :

- Excellent interpersonal and communication skills with academic and non-academic stakeholders

- Track record of peer-reviewed publications as first author

- Strong skills and experience working collaboratively as a member of a multidisciplinary team

What can we offer you?

· A stimulating working-environment with friendly, highly motivated colleagues.

· Opportunities to develop and implement new ideas in a creative environment.

· A competitive salary in line with your skills and experience.

· A comprehensive medical insurance cover as part of your employment.

Please note this post is mainly based in the CREATE Tower at NUS University Town, Singapore.

How to apply?

Please apply by uploading your CV and academic transcript to

If you have any questions, please feel free to reach out to the HR team at .

Informal enquires can be sent to the academic lead of this work package:

Implement AI models for 3D data generation using deep learning techniques. Strong experience in 3D computer vision and 3D graphics required. Responsibilities include data preprocessing and feature engineering. Expert in GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

LOCATION

EMPLOYMENT TYPE

Permanent

1. Developing and implementing deep learning models for 3D data, such as point clouds, voxel grids, and triangle meshes.
2. Training and fine-tuning deep learning models on large datasets of 3D data, such as 3D scans of real-world objects and environments.
3. Using deep learning to extract features and representations from 3D data, such as object segmentation, surface normal estimation, and 3D object recognition.
4. Researching and implementing new techniques for 3D deep learning, such as point cloud convolutional neural networks and volumetric convolutional neural networks.
5. Collaborating with other engineers and researchers to integrate 3D deep learning models into other systems, such as robotics and autonomous vehicles.
6. Building and deploying 3D deep learning models on various platforms, including cloud, edge, and mobile devices.
7. Optimizing the performance of 3D deep learning models, including reducing memory and computational requirements and improving inference speed.
8. Communicating the results of their research and development activities to stakeholders and customers, including technical and non-technical audiences.
9. Keeping up with current research and developments in the field of 3D deep learning and identifying new opportunities for applying 3D deep learning to real-world problems.
10. Utilizing NVIDIA's deep learning frameworks, such as CUDA, cuDNN, and TensorRT, to optimize the performance of 3D deep learning models.
11. Using NVIDIA's Jetson platform for deploying deep learning models on edge devices.
12. Using NVIDIA's GPU-accelerated cloud platforms, such as NVIDIA GPU Cloud (NGC), for training and deploying deep learning models in the cloud.
13. Leveraging NVIDIA's AI-specific hardware, such as the NVIDIA A100 Tensor Core GPU, for faster and more efficient training and inference of deep learning models.
14. Utilizing NVIDIA's AI development tools, such as DeepStream and Isaac, to develop and deploy AI-powered applications for robotics and autonomous systems.
15. Using NVIDIA's Clara platform for medical imaging and other 3D data analysis.
16. Utilizing NVIDIA's Omniverse platform for creating and training models in virtual environments.

1. Strong technical skills: A 3D Deep Learning Engineer should have a solid understanding of deep learning and computer vision, as well as experience with programming languages such as Python and C++.
2. Experience with 3D data: You should have experience working with 3D data, such as point clouds, voxel grids, and triangle meshes, and should be familiar with the techniques and algorithms used for processing 3D data.
3. Experience with deep learning frameworks: You should have experience working with deep learning frameworks, such as TensorFlow, PyTorch, and NVIDIA's CUDA, cuDNN, and TensorRT, and should be familiar with the techniques used to optimize the performance of deep learning models.
4. Strong problem-solving skills: You should have strong problem-solving skills and be able to develop creative solutions to complex technical challenges.
5. Attention to detail: You should be meticulous and pay attention to detail, as small errors or bugs in the code can cause significant problems.
6. Strong communication skills: You should be able to effectively communicate technical ideas and solutions to both technical and non-technical audiences.
7. Flexibility and Adaptability: You should be able to adapt and learn quickly as the field of AI is constantly evolving and new techniques and technologies are emerging.
8. Creativity: You should have a creative mindset and be able to come up with new and innovative solutions to problems.
9. Team Player: You should have good collaboration skills and be able to work well in a team environment.
10. Passion for technology: You should have a genuine passion for technology and a desire to learn and stay current with the latest developments in the field.

Join to apply for the Deep Learning Engineer, TikTok e-Commerce role at TikTok

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Join to apply for the Deep Learning Engineer, TikTok e-Commerce role at TikTok

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

• Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.
• Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.
• Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.
• Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.
• Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.
• Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.
• Develop innovative and state-of-the-art e-commerce logistics models and algorithms
• Support the production of scalable and optimised AI/machine learning (ML) models
• Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
• Work with the relevant software platforms in which the models are deployed
  
  

• Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.
• Strong in data structures and algorithms, with excellent problem-solving ability and programming skills
• Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.
• Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).
  
  

• Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.
• Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.
• Working experience in machine learning, operations research or big data analysis.
• Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Entertainment Providers

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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Haobo Li’s lab. The group specializes in energy chemistry and aims to apply advanced AI models in areas such as catalyst design, multi-scale modeling, and spectroscopic analysis.

The Research Fellow will take on a significant role in machine learning theoretical energy chemistry, conducting simulations, collaborating with experimentalists, and publishing in reputable journals.

Key Responsibilities:

• Conduct research related to machine learning theoretical energy chemistry
• Implement new findings through computational simulations and collaborate with experimentalists
• Publish research papers in reputable journals and give talks on international conferences
• Provide project updates to principal investigator
• Assist in proposal preparation

Job Requirements:

• PhD in chemistry, physics, chemical engineering, computer science, or other related fields
• Research background in theoretical catalysis/materials science, AI/ML, and computational modelling (DFT, MD, etc.)
• Good publication record
• Good written and verbal communication skills
• Proficiency in programming

We regret that only shortlisted candidates will be notified.

3-year direct contract

Responsibilities

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant discipline with minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

Industry: Manufacturing Technology R&D Institute | Location: 6 bus stops away from Boon Lay MRT

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