220 Natural Language Processing jobs in Singapore

• 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.

NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team for internship. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources.

You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning systems, robotics and computer vision. Your contributions have the chance to create real impact on our products.

What you'll be doing:

• Research, design and accelerate novel generative AI models
• Publish original research
• Collaborate with other team members
• Speak at conferences and events
• Transfer technology to product groups

What we need to see:

• Excellent knowledge of LLM and foundation models
• Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc)
• Pursuing a PhD degree in computer science or electrical engineering with strong research track records.
• Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus
• Familiar with machine learning frameworks.
• Excellent communication skills

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.

We are building intelligent systems that can see, speak, understand, and act . As an AI Research Engineer , you will work at the frontier of LLM-based agents and multimodal AI , helping us design and deploy interactive systems that reason, adapt, and collaborate with humans.

You'll join a fast-moving team of researchers and engineers working on next-generation agentic architectures , exploring how LLMs can use tools, remember, plan, and respond dynamically across language, vision, and other sensory inputs.

This is not just model tweaking. You'll design full-stack AI behaviors — from prompt design to memory systems to multimodal grounding — that push the boundaries of real-world AI applications.

• Design, develop, and optimize LLM-based and multimodal agent architectures , integrating language, vision, audio, and structured data.
• Conduct experiments in prompt engineering, fine-tuning, RAG (retrieval-augmented generation), multimodal fusion , and reasoning .
• Prototype interactive AI agents that perceive context, understand intent, and perform goal-directed actions .
• Work closely with engineering and research teams on model evaluation, pipeline design , and large-scale experimentation .
• Keep abreast of the latest advancements in LLMs, multimodal models , and agentic workflows .
• Contribute to technical documentation, internal research reports , and (optionally) external publications.
• Collaborate cross-functionally with product, design, and infrastructure teams to bring cutting-edge AI into production.

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning , or related fields.
• Solid foundations in algorithms, data structures, and system architecture .
• Proficient in Python with hands-on experience using PyTorch or similar frameworks.
• Experience with LLM tooling and APIs (e.g., Hugging Face Transformers, LangChain, vLLM, OpenAI API, etc.).
• Familiarity with multimodal models (vision-language, audio-language, video-language) and integrating them into AI pipelines.
• Practical experience in fine-tuning , RAG , or agent workflows (e.g., tool-use, memory, planning).
• Strong analytical mindset and ability to reason from data and experiments.

• Publications or open-source contributions in LLM, multimodal, or agentic AI .
• Experience with vector databases , knowledge graphs , or reasoning modules .
• Hands-on work building interactive AI apps (e.g., virtual assistants, autonomous agents, research copilots).
• Understanding of reinforcement learning , LLM evaluation frameworks , or human-AI interaction design .

• Work at the bleeding edge of AI research and real-world deployment .
• Collaborate with world-class talent across AI, product, and design teams.
• Competitive salary, performance bonus, and equity options (for qualified candidates).
• Flexible working arrangements and opportunities to publish, present, or contribute to open-source .
• A mission-driven environment building AI that understands and helps humans — not just answers queries.

Imperial College London and Nanyang Technological University (NTU) are seeking (Senior) Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS).

We are particularly looking for AI Research Fellows with the following backgrounds:

- Medical Imaging

- Medical time-series analysis

- Foundational Models

- Medical AI

- New learning paradigms and representation learning

As an AI Research Fellow, the successful candidate will contribute to the programme by conducting fundamental research aligned with the programme and translating research outputs to achieve impact within the Singapore healthcare environment.

IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. Allied to other programmes in Singapore and the UK, it represents a unique opportunity to be at the forefront of research and development into securing the vital information that flows between implantable, wearable and connected medical devices, including those currently in use, and those yet to be developed. The four themes of IN-CYPHER are:

Theme 1 Protecting Implantable Devices

Implantable and wearable medical devices – including both sensors and active devices – operate under strong design constraints. Our research in this area seeks to embed secure design from first principles, and at the most fundamental levels (silicon or substrate) of device design; we also recognise the need to consider the challenge of post-quantum cryptographically secure techniques in the immediate future.

Theme 2 Securing Connected Wearables & Healthcare Systems

Increasingly, medical devices incorporate some form of connectivity, and many of these devices are necessarily designed to be in use for between one and two decades. There is a constant risk of exploit of zero-day vulnerabilities, and therefore a requirement to detect breaches in extremely intricate complex networks and data flow pipelines. We seek solutions to this challenge that embed security at hardware level.

Theme 3 Algorithms for Privacy, Security and Provenance

To control active medical devices – such as closed-loop drug-delivery systems – information moves from sensors and devices along different communications channels; data provenance and integrity are important. Moreover, the use of data-driven algorithms potentially exposes protected patient characteristics, presenting specific technical challenges not only within operational use, but also to product development cycles.

Theme 4 Clinical Innovation & Translation

One area of personalised medicine resides in the use of data for closed-loop drug delivery, including insulin delivery. With key researchers and teams from both Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust, we seek to develop threat models that are suitable for emerging approaches to personalised medicine, and particularly where data-driven techniques might offer improvements to patient outcomes.

Given the span of our research, we are seeking highly motivated researchers to join the IN-CYPHER programme. Unique in its scope, we are developing intelligent technologies that span embedded systems, and the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare.

We are seeking candidates with drive and passion to be self-motivated innovators, to conduct fundamental research and translate findings into real world applications. Candidates with strong publication profiles are particularly welcome, but a willingness to assimilate the complexities of working with innovators of healthcare technology and patient data, and to work as part of a diverse team, are critical. A willingness to contribute and lead on the production of high-quality research outputs is also essential.

The collaborating Departments include senior academics from the Department of Metabolism, Digestion and Reproduction and the Department of Bioengineering at Imperial – the largest Biomedical Engineering Department in the UK – and senior researchers from the School of Computer Science and Engineering (SCSE), School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological University. Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, consistently ranked within the top 10 of the QS University Rankings. Candidates must be resident and based in Singapore, but there will be opportunities for research visits to Imperial's London-based locations.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel , together with an indication of your research interests and their alignment to the programme.

Questions about the recruitment process, should go to the HR at Imperial Global Singapore

Key Responsibilities

Main Duties

• Take initiatives in conducting and planning own scientific work

• Identify and develop suitable techniques for the analysis of data

• Maintain highly organised and accurate record of work

• Maintain and promote the highest standards of scientific integrity

• Actively participate in all aspects of the research programme of IN-CYPHER

• Report research activities both internally and externally

• Present findings to colleagues and at national/international conferences

• Publish in high quality refereed journals

• Collaborate with scientific, clinical and translation partners, to translate research ideas into real-world application and/or positive societal impact

• Attend relevant workshops as necessary

• Develop contacts and research collaborations within IGS, Imperial, NTU and the wider community

• Promote the positive reputation of IGS and the IN-CYPHER Programme

• Contribute to the writing of grant proposals to secure funding for the research program

• Participate in group research meetings and internal seminars

• Contribute to the smooth running of IN-CYPHER and other programmes under IGS

• Assist in the supervision of undergraduate interns, postgraduate research students and research assistants as required

• Comply with IGS' and CREATE practices and to attend courses on safety when appropriate

• Any other duties as may be deemed reasonable by scientific and operations managers of IGS, IN-CYPHER and scientific investigators of the relevant Themes.

Other Duties

• Undertake any necessary training and/or development

• Undertake appropriate administration tasks

• Attend relevant meetings

• Observe and comply with all IGS policies and regulations, including the key policies and procedures on:

- Confidentiality,

- Conflict of Interest

- Business Continuity

- Data Protection

- Equal Opportunities

- Ethics related to scientific conduct and to considerations of patient data, where appropriate

- External Interests

- Financial Regulations

- Health and Safety

- Use of Information Technology

- Policies regarding smoking and e-cigarettes

- Undertake specific safety responsibilities relevant to individual roles, as set out by IGS

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore

Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial Global Singapore is committed to equality and values diversity. IGS adheres to Imperial Values and Behaviours framework.

Person Specification

Requirements

Candidates/post holders will be expected to demonstrate the following Essential (E) / Desirable (D)

Education

a PhD (or equivalent) in any field of engineering, computer science, applied mathematics, or a closely related discipline; (E)

At Senior Research Fellow: 2 to 5 years of post-doctoral research in a field allied to one of the themes of the IN-CYPHER Programme (E)

Experience

Practical experience within a research environment and publication in relevant and refereed journals. (E)

Significant experience in a topic relevant to the IN-CYPHER Programme; by way of illustration, such topics might include: (E)

• Machine Learning and AI

• AI in Healthcare

• Machine learning for time-series analysis

• foundational ML models

• AI privacy, security and safety

Experience of: (D)

• Industrial experience,

• high-stakes domains, such as hospital environments,

• strongly interdisciplinary research

Experience in analysis, interpretation and visualisation of scientific data (E)

Practical experience in any of the following tools/techniques/areas: (E)

• Data-driven research in clinical/medical/hospital/healthcare environments

• medical device design

• medical regulatory processes

• ISO 13485; ISO 27001; ISO 14971

• NIST 800-53; 800-53/FI; 800-30

Experience of working with and supervising students on undergraduate and/or graduate-level projects (D)

Knowledge

Knowledge of research methods and statistical procedures (E)

Knowledge of data presentation and analysis as relevant to specifically themes 3 and 4 (E)

Knowledge of different methods to develop and analyse computational models (E)

Knowledge of computational or engineering techniques relevant to specifically themes 3 and 4 (D)

Skills & Abilities

Ability to conduct a detailed review of recent literature (E)

Ability to develop and apply new concepts (E)

A creative approach to problem-solving (E)

Excellent verbal communication skills and the ability to effectively collaborate (E)

Excellent written communication skills and the ability to write for scientific publication to achieve impact (E)

Ability to direct the work of a small research team and motivate others to produce a high standard of work (E)

Ability to organise own work with minimal supervision (E)

Ability to prioritise own work in response to deadlines (E)

A skill-set aligned with at least one the requirements of the themes 3 or 4 of IN-CYPHER (E)

Other

Willingness to work as part of a team and to be open-minded and cooperative (E)

A flexible attitude towards work (E)

High level of discipline and regard for confidentiality and security at all times (E)

Willingness to undertake any necessary training for the role (E)

Willingness to travel both within the Singapore and to the United Kingdom, and other destinations as required to conduct and disseminate research (D)

Willingness to work out of normal working hours (including weekends) if the requirements of the project demand. (D)

Imperial Global Singapore is committed to equality of opportunity and to eliminating discrimination. All employees are expected to:

1) Champion a positive approach to change and opportunity

2) Encourage inclusive participation and eliminate discrimination

3) Communicate regularly and effectively within and across teams

4) Consider the thoughts and expectations of others

5) Deliver positive outcomes

6) Develop and grow skills and expertise

7) Work in a planned and managed way

Employees are also required to comply with all IGS policies and regulations, paying special attention to:

• Confidentiality

• Conflict of Interest

• Data Protection

• Equal Opportunities

• Financial Regulations

• Health and Safety

• Information Technology

• Smoking

• Private Engagements and Register of Interests

• The regulations of CREATE Tower and of Singapore

They must also undertake specific training and assume responsibility for safety relevant to specific roles, as set out on the College Website Health and Safety Structure and Responsibilities page.

IGS observes the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published.

IGS believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. IGS is committed to ensuring that, in cases where this research is deemed essential, animals in are treated with full respect, and that any and all staff involved with this work show due consideration at every level. For further details, applicants are directed to:

Interested candidates are invited to submit their applications through the following link:

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

Employment Type : Full-Time
Location : Remote, Singapore
Level : Mid to Senior

Pixalate seeks a Senior Product Manager to drive our AI-powered fraud detection/prevention platform and revolutionize how our sales, customer success, and operations teams work. Partner with PhD-level AI engineers to ship agentic AI systems that protect millions of users while making our teams 10x more efficient.

About the Role

Join our innovative AI Research team. In this role, you'll translate cutting-edge research in agentic AI and multimodal analysis into products that both catch fraudsters and transform internal workflows. Ship real impact in weeks, not years.

Key Responsibilities

Product Execution & Delivery

• Own product roadmaps for AI-powered tools
• Manage product backlogs, prioritizing features that balance AI innovation with user needs
• Define requirements for agentic AI systems that automate complex workflows
• Lead sprint planning and coordinate releases with engineering and AI research teams

AI Transformation & Market Research

• Identify opportunities where agentic AI can transform internal processes
• Research emerging AI technologies (RAG systems, multi-agent frameworks) for product integration
• Analyze market trends to position our AI capabilities against competitors
• Partner with internal teams to identify automation opportunities and measure efficiency gains

Technical Product Management

• Collaborate with AI engineers on agentic system architectures
• Define success metrics for both model performance and business impact
• Ensure AI products meet accuracy, latency, and scalability requirements
• Manage the iterative improvement of AI models based on real-world performance

Basic Qualifications

Relevant Experience

• 2-5 years of product management with 2+ years in AI/ML products
• Proven track record shipping AI features from concept to production with well known LLMs/ML Models
• Experience with B2B SaaS products and understanding of enterprise workflows
• Success working with technical teams (data scientists, ML engineers)

Technical Skills

• Strong understanding of AI/ML concepts: LLMs, embeddings, RAG systems
• Familiarity with agentic AI frameworks and multi-agent orchestration
• Ability to evaluate AI model performance and make data-driven decisions
• Experience with APIs, integrations, and workflow automation tools

Product Skills

• Excellence in writing PRDs, user stories, and technical specifications
• Strong analytical skills with experience in A/B testing and metrics analysis
• Proficiency with product management tools (Jira, Confluence, analytics platforms)
• Agile/Scrum experience with distributed teams

Preferred Qualifications

• MSc or Phd Preferred
• Experience in cybersecurity, ad tech, or fraud detection domains
• Background building internal tools or automation platforms
• Understanding of multimodal AI (text, image, video analysis)
• Technical degree or certifications in AI/ML
• Experience with low-code AI platforms (Vertex AI, Azure AI)

Benefits

At Pixalate, we offer an extremely competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.

• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high performing team that wants to win and have fun doing it

Home Team Science and Technology Agency (HTX)

Permanent/Contract

Closing in 1 day(s)

What the role is

At HTX, our vision is to exponentially impact Singapore's safety and security, ensuring a safer and more resilient future for all. Our mission drives us towards force multiplying our Home Team through scientific and technological breakthroughs, and secure Singapore's future by empowering our frontlines and enhancing public safety. Joining HTX means becoming part of a dynamic team committed to these critical goals, where your work as a Data Scientist will directly contribute to these efforts. In this role, you'll have the opportunity to leverage data-driven insights to support decision-making, develop innovative solutions, and play a pivotal role in safeguarding our nation. If you're passionate about making an impact that truly matters, HTX is the place for you.

What you will be working on

We are looking for someone who is creative, curious, collaborative and enjoys challenges. If you like to design, build and deploy scalable solutions using operations research and/or AI to address complex planning problems for the Home Team, we want you Successful candidate's primary job role would be in operations research with focus in Optimization techniques, there will also be opportunity for job holder to gain exposure to other related work. We believe in upskilling our officers and exposing them to work spanning from end-to-end of the solution.
The job-holder is expected to collaborate with various teams (within HTX and across Home Teams) and is responsible for:
a. Working in a Data Science team with other stakeholders to identify, scope, develop and implement data science and AI solutions to address users' needs.
b. ing operations research techniques (mathematical programming such as linear programming, mixed integer programming and constraint programming) and/or Data Science (AI, machine learning and deep learning and data analytics) to address the diverse business needs for MHA.
c. Learning and deep diving into the above techniques through research.
d. Collaborate closely with business users to extract actionable insights from data and processes and develop data-driven & optimised solutions to meet their needs.
e. Present analytical insights to business users and stakeholders.
f. Manage large scale and complex projects which may be developed in-house or co-developed with external or consultancy agencies and/or academic institutions.

What we are looking for

a. Candidates should possess at least a bachelor's degree in a quantitative discipline: Engineering, Mathematics, Statistics or Operations Research or related disciplines.
b. Candidates must be good problem solvers with strong analytical and mathematical skills. Background in operations research, particularly knowledge in linear programming, mixed integer programming, constraint programming, evolutionary algorithm, heuristic search, statistics and data analysis is required.
c. Familiarity in mathematical programming tools such as IBM Cplex, Gurobi, OR-Tools is advantageous.
d. Experience in SQL or handling of data (merging data and data transformation) or user interface development and proficiency in programming languages such as Python, R, Java and C/C++/C# is advantageous.
Personal Characteristics & Behaviours
He / She has:

• good critical thinking, data analysis and problem-solving skills

• good written and verbal communication skills to communicate technical aspects effectively to non-technical audience

• good interpersonal and stakeholder management skills to work under tight timelines

• good working attitude and able to work effectively as part of a team
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.

About Home Team Science and Technology Agency (HTX)

HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.

About your application process

This job is closing in 1 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Home Team Science and Technology Agency (HTX) or the wider Public Service.