591 AI Research jobs in Singapore

As a research scientist, you will be responsible for developing innovative fine-tuning techniques to adapt foundation models for various downstream applications. These applications include climate science, remote sensing image interpretation, and natural disaster response.

TikTok's AI Innovation Center is at the forefront of cutting-edge Artificial General Intelligence (AGI) technologies. We explore large language models, multi-modal LLMs and other AGI concepts to enhance user experience on our platform.

Our mission is to improve content understanding in videos, images, audio and text. This leads to better search capabilities, recommendations and more accurate detection of internet abuse and fraud.

Regarding code, we aim to develop an LLM that can automatically reorganize and optimize TikTok's codebase, making it more accessible to engineers.

We are looking for a researcher with expertise in machine learning, computer vision, natural language processing and related fields. The ideal candidate should have strong programming skills, particularly in C/C++ or Python.

The main responsibilities include driving technology development, improving code comprehension and generation capabilities, and exploring Code Agent capabilities for business production environments.

Requirements:

• PhD or Master's degree required, with top conference papers in machine learning, computer vision and natural language processing.
• Excellent programming skills, data structure and algorithm skills.
• Research experience in machine learning, especially in large language models and generative AI.

Preferred Qualifications:

• Strong problem analysis and solving skills.
• Passionate about technology and teamwork.

TikTok is committed to creating an inclusive environment where employees value diversity and unique perspectives. Our workplace reflects the global communities we reach and we aim to inspire creativity and bring joy.

• 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.

We are seeking a skilled Data Scientist to join our team in an exciting opportunity that combines data analysis and machine learning techniques.

About the Job:

• The successful candidate will be responsible for extracting insights from large datasets, standardizing data formats, and developing algorithms for real-world problem statements.
• You will work closely with experienced researchers on one or more projects involving external collaborators and challenging real-world datasets.

Responsibilities:

• Develop engaging conversational agents to enhance cognitive impairment detection and management;
• Cleanse and process real-world datasets for analysis;
• Implement machine learning algorithms for various problem statements;
• Assist in editing and preparing manuscripts, reports, and presentations;
• Participate in presentations and demos at relevant events;

Requirements:

• Bachelor's or Master's degree in Computer Science with a focus on AI/Machine Learning/Big Data;
• Strong programming skills in Python, Perl, R, or other languages, with experience in TensorFlow;
• Able to read and understand methodologies in research papers;
• Fluent English speaker with excellent teamwork skills.

We Offer:

• A dynamic and collaborative work environment;
• Ongoing professional development opportunities;
• A chance to make a meaningful impact in the field of data science.

The Centre for Trusted Internet and Community invites applications for a position to work closely with the research team on developing trustworthiness of AI agents engaged in interactive digital tasks.

Interested candidates should have relevant background in multimodal foundation models, AI agents, and spatial intelligence.

The selected candidate will assist in research design, implementation, experiments, and publications, contributing to advancing the state of the art in AI.

• Conduct literature reviews and contribute to problem formulation in the areas of multimodal AI, LLMs, and agent systems
• Develop and implement AI models, algorithms, and experimental pipelines (Python/PyTorch/GitHub/Linux, etc.)
• Support data collection, preprocessing, and analysis across multiple modalities (text, image, video, audio)
• Collaborate with Professors, Research fellows, PhD students, and other research partners
• Assist in preparing research manuscripts, technical reports, and presentations
• Participate in project meetings and contribute to team discussions

A minimum of a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related fields is required. A Master's degree is preferred.

• Strong background in machine learning / deep learning ; familiarity with multimodal learning, natural language processing, or computer vision is an advantage
• Proficiency in programming (Python, PyTorch/TensorFlow, and related ML libraries)
• Research experience in relevant AI areas (e.g., foundation models, reasoning, generative models, embodied AI) will be highly valued
• Strong problem-solving ability, analytical thinking, and ability to work independently as well as in a team
• Good communication skills (both written and verbal) in English

This is an excellent opportunity to work in a dynamic research environment and advance your career in AI.

Only shortlisted candidates will be notified.

Shanda Group, through our MiroMind AI Research initiative, is pioneering the transition from "copilot AI" to "autopilot AI", building next-generation intelligent agents with long-term memory, reasoning, planning, and real-time learning capabilities.

We operate across our global research hubs and collaborate with top universities, AI labs, and enterprises worldwide.

Our vision is to create AI systems that integrate human-like memory and reasoning into real-world applications, bridging fundamental research breakthroughs with large-scale deployment.

We are seeking a AI Research Scientist to direct cutting-edge research and guide the development of advanced AI models and systems with both strategic and hands-on responsibilities. This role ideal for a researcher with a world-class publication record and a proven track record of mentoring teams and delivering high-impact AI innovation.

You will involve in LLMs, LMMs, RAG, intelligent agents, and persistent AI memory systems, while fostering global research collaborations and shaping our technical vision.

• Drive end-to-end AI research from conceptualization to deployment, focusing on long-term memory systems, multi-modal reasoning, and next-generation agents.
• Involve with the experimentation, model design, and evaluation for large-scale language, vision, and multimodal models.
• Publish first-author or senior-author papers in top-tier venues (NeurIPS, ICML, ICLR, ACL, CVPR, EMNLP) and file patents to protect core innovations.

• Shape the research roadmap in alignment with MiroMind's mission and business goals.
• Identify and evaluate emerging AI technologies for potential adoption.
• Translate research breakthroughs into scalable applications.

• Mentor junior scientists and guide cross-functional AI research teams.
• Establish partnerships with universities, research institutes, and industry leaders.
• Internal AI knowledge-sharing sessions, workshops, and collaborations.

• Ph.D. in Computer Science, AI, Machine Learning, or related field (or equivalent top-tier research experience).
• Outstanding publication record with multiple first-author papers in top AI conferences/journals.
• Proven track record of delivering high-impact AI models or systems to production scale.
• Deep expertise in LLMs, LMMs, RAG, multimodal AI, reasoning models, and memory-augmented architectures.
• Strong programming skills (Python, PyTorch/TensorFlow) and experience with distributed training at scale.
• Exceptional communication, and collaboration skills.

• Industry experience in deploying AI systems at scale in complex environments.
• Experience with startups or research labs where innovation speed is critical.
• Cross-disciplinary research experience in NLP, CV, reinforcement learning, and cognitive AI.
• Multilingual abilities (English + Chinese preferred) for international collaboration.

A Research Fellow position is available to develop innovative AI solutions for real-world applications.

We are seeking a highly skilled professional with expertise in multimodal data processing and AI technologies. The ideal candidate will have substantial experience in working with transformers, foundation models, and generative models.

The successful candidate will be responsible for developing parameter-efficient fine-tuning techniques to adapt foundation models for downstream applications such as climate science, remote sensing image intelligent interpretation, and natural disaster response.

• Substantial experience in multimodal data processing and AI technologies.
• Strong programming and data analysis skills with proficiency in Python and high-performance computing.
• Strong publication record in peer-reviewed IEEE journals on image processing and computer vision related conferences.
• A Ph.D. degree in relevant fields such as remote sensing, image processing, or computer vision.

To succeed in this role, you should have strong analytical and problem-solving skills, excellent communication skills, and the ability to work independently.

We offer a dynamic and collaborative work environment with opportunities for growth and development. As a Research Fellow, you will have access to state-of-the-art research facilities and resources.

Job Opportunity

We are seeking a highly skilled individual to join our team as a Research Fellow to work on the Digital Trust Centre project.

The successful candidate will contribute to advancing the state of the art in AI by assisting in research design, implementation, experiments, and publications.

Main Responsibilities:

• Conduct literature reviews and contribute to problem formulation in trustworthiness of Large Language Models and agentic AI systems.
• Develop and implement AI models, algorithms, and experimental pipelines using Python, PyTorch, GitHub, and Linux.
• Collaborate with Professors and mentor graduate students and interns.

Requirements:

• A minimum of a PhD degree in Computer Science, Artificial Intelligence, or Data Science.
• Strong background in machine learning, LLMs, and reasoning.
• Proficiency in programming languages including Python, PyTorch, and related ML libraries.
• Research experience in relevant AI areas such as foundation models, reasoning, generative models, and embodied AI.
• Strong problem-solving ability, analytical thinking, and ability to work independently and collaboratively.
• Good communication skills in English both written and verbal.

Necessary Skills:

• TensorFlow
• Machine Learning
• Ability To Work Independently
• Artificial Intelligence
• Computer Science
• PyTorch
• Good Communication Skills
• Python
• Data Science
• Research Design

Join us at Shanda AI Research as we are dedicated to becoming a global leader in AI innovation, driving the transition of AI technology from the "copilot" era to the "autopilot" era. We focuses on cutting-edge research in large models and nextgeneration intelligent agents. Our mission is to push the boundaries of AI technology, develop groundbreaking models, and advance their real-world applications and impact.
Key Responsibilities
AI Innovation & Integration
Lead research and development in LLMs, LMMs, RAG systems, and agent architectures enhanced with long-term memory for continuous learning and multi-session reasoning.
Research & Publication
Publish cutting-edge work in top-tier AI conferences and journals (e.g., NeurIPS, ICLR, ICML, CVPR, ACL). Contribute to the open-source community, secure patents, and share datasets and model implementations.
Application & Impact
Collaborate with cross-functional teams to apply theoretical breakthroughs to real-world challenges, bridging research with enterprise adoption in Southeast Asia and beyond.
Emerging Trends & Strategy
Monitor global AI advancements to inform internal strategy and help shape the future of self-evolving AI systems under the AIG framework.
Essential Qualifications
1. Technical Expertise
Strong knowledge in Natural Language Processing, Computer Vision, Deep Learning, and Machine Learning
Familiarity with advanced architectures including autoregressive LLMs, Vision Transformers, Diffusion Models, and retrieval-based memory systems
Proficiency in PyTorch and experience building intelligent agent systems with persistent memory or RAG integration
2. Academic & Research Background
Track record of publishing at major conferences such as NeurIPS, ICLR, ICML, CVPR, ACL, EMNLP, etc.
Experience developing large-scale language or vision-language models is highly desirable
3. Programming Skills
Proficient in Python, with working knowledge of C++ or Java
Comfortable in Linux-based development environments
4. Soft Skills
Strong communication, teamwork, analytical thinking, and self-motivation
Ability to work independently while collaborating across a global team
Preferred Qualifications
Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent research experience)
Recognized achievements in AI competitions, open-source projects, or large-scale deployments
Bonus Skills
Hands-on experience with distributed training, data pipeline design, and deep learning production deployments
Strong mathematical foundation and proficiency in both written and spoken Chinese and English, to support technical documentation and cross-functional communication
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