902 Natural Language Processing jobs in Singapore

Senior Researcher, Natural Language Processing
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LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices.
About the Hiring Team
Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc.
Responsibilities
Responsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis, and named entity recognition.
Responsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction, and other research and development job.
Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.
Explore applications of NLP techniques and deep learning algorithms in games.
Follow the latest developments in academia and industry and quickly apply findings in your work.
Qualifications
Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.
Proficient in at least one programming language, familiar with basic data structures and algorithms.
Experience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.
Familiar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.
Publication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.
Familiar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research and Science
Industries
Software Development
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Research Assistant/Research Associate/Research Fellow (Natural Language Processing) page is loadedResearch Assistant/Research Associate/Research Fellow (Natural Language Processing) Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Today job requisition id R00021531

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view:

Our team is seeking to hire a talented researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with improved memory/sample/time efficiency in training and testing.

Key Responsibilities:

The Researcher will work on a project to conduct research on the development of multimodal large language models. The roles of this position include:

• Development of algorithms to improve memory/sample/time efficiency of LLM training.

• Development of a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.

• Publication of papers in top tier conferences and journals

• Collaboration with team members and funding agency to ensure timely and quality deliverables.

• Co-supervision of MSc and Final Year Project students involved in this project.

Job Requirements:

• Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer Engineering field in computer science, or related field.

• Strong expertise in natural language processing (NLP) and large language models (LLM)

• Over 1-year research experience in the above required areas

• Excellent publication track record on top tier conferences/journals

• Proficiency in programming language Python

• Excellent verbal and written communication skills

We regret to inform that only shortlisted candidates will be notified.

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

Research Assistant/Research Associate/Research Fellow (Natural Language Processing) page is loaded

Research Assistant/Research Associate/Research Fellow (Natural Language Processing)

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view:

Our team is seeking to hire a talented researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with improved memory/sample/time efficiency in training and testing.

Key Responsibilities:

The Researcher will work on a project to conduct research on the development of multimodal large language models. The roles of this position include:

• Development of algorithms to improve memory/sample/time efficiency of LLM training.

• Development of a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.

• Publication of papers in top tier conferences and journals

• Collaboration with team members and funding agency to ensure timely and quality deliverables.

• Co-supervision of MSc and Final Year Project students involved in this project.

Job Requirements:

• Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer Engineering field in computer science, or related field.

• Strong expertise in natural language processing (NLP) and large language models (LLM)

• Over 1-year research experience in the above required areas

• Excellent publication track record on top tier conferences/journals

• Proficiency in programming language Python

• Excellent verbal and written communication skills

We regret to inform that only shortlisted candidates will be notified.

About Us

NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).

Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.

Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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

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.

We are seeking a highly skilled and motivated AI Researcher to join our organization. The ideal candidate will have a strong background in computer science, statistics, or applied mathematics, with a PhD degree or equivalent research experience.

• Conduct cutting-edge research in recommendation systems, natural language processing, and deep learning & LLM.
• Develop AI-enabled products and services in collaboration with other groups within the company.
• Collaborate with top organizations on academic projects.

• PhD degree in computer science, statistics, or applied mathematics, or equivalent research experience.
• Demonstrated ability to generate new ideas.
• 3 years of academic or industrial working experience in recommendation systems, natural language processing, deep learning, machine learning, or related fields.
• Strong programming skills in C/C++, Java, or Python.

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We are a leading recruitment agency in Singapore providing professional solutions to employers and job seekers alike.

The position of Human-AI Collaboration Expert is an exciting opportunity to join our interdisciplinary research team. We are looking for a highly skilled individual with expertise in qualitative research methods, including observations and/or in-depth ethnographic fieldwork.

• Conduct and analyse qualitative research (interviews, focus groups, observations, surveys) with professionals in organisations
• Lead and assist in designing research protocols and data collection instruments
• Work with companies and organisational partners to set up, schedule, and conduct research engagements
• Write literature reviews and assist in theoretical development around Human-AI collaboration
• Collaborate on writing academic papers, reports, and white papers
• Communicate research findings to public and private stakeholders
• Support developments in Human-AI collaboration within the university

• A PhD in fields related to work, organisations, labour studies, business, or sociology
• Demonstrated experience with qualitative research methods, including observations and/or in-depth ethnographic fieldwork
• Interest in or familiarity with generative AI and its implications for work and expertise
• Excellent writing and communication skills
• Strong organisational and data management skills
• Interest in working in an interdisciplinary team, including sociologists, economists, algorithm engineers, and educational specialists

• Experience in industry or applied research settings
• Familiarity with workplace-based or ethnographic research
• Exposure to survey design and basic mixed methods

We are seeking a talented Research Assistant to join our team and contribute to the advancement of Artificial Intelligence (AI) research. As a Research Assistant, you will work closely with our experienced researchers to develop innovative AI solutions that have real-world impact.

Job Description:

The successful candidate will be responsible for conducting literature reviews, developing AI models and algorithms, and collaborating with our research team to advance the state-of-the-art in AI. You will also assist in preparing research manuscripts, technical reports, and presentations, and participate in project meetings and discussions.

Requirements:

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

What We Offer:

This is an exciting opportunity to contribute to cutting-edge AI research and develop your skills in AI development. You will have the chance to work with a talented team of researchers and make meaningful contributions to the field.

About the Role:

This role involves working on developing the trustworthiness of AI agents, conducting literature reviews, and collaborating with the research team. As a Research Assistant, you will have the opportunity to advance your knowledge and skills in AI development and contribute to the success of our research projects.

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.

• 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.

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

• 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

• 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