364 Natural Language jobs in Singapore

Overview
Global Talent Acquisition | HR Compliance & Payroll | Project Management
As a Research Scientist at MTRI, you will contribute to our mission of pushing AI forward in compliance-driven, high-stakes domains. You will be responsible for conducting original research, prototyping new systems, collaborating with other researchers, and bringing innovation from concept to impactful proof-of-concept.
Candidate Profile:
We welcome candidates who are in the final year of their Ph.D. program or recent Ph.D. graduates in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Experienced researchers and industry professionals with strong publication records are also encouraged to apply.
Responsibilities
Conduct research in Natural Language Processing, Retrieval-Augmented Generation, Vision-Language Models, and other related fields;
Design, prototype, and evaluate novel algorithms and models;
Publish research findings in leading AI conferences and journals (e.g., NeurIPS, ICLR, CVPR, EMNLP, ACL, etc.);
Contribute to technology transfer by supporting proof-of-concept (POC) and pilot projects;
Represent the Company at international academic events;
Adhere to the highest standards of research ethics, data privacy, and compliance.
Qualifications
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Hands-on experience in NLP methodologies (e.g., Text Classification, Supervised Fine-Tuning, Chain-of-Thought)
Seniority level
Internship
Employment type
Full-time
Industries
Research Services
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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 1,000 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:

We are hiring a Research Associate/Research Fellow in EEE to contribute towards NLP-based research and associated deep learning applications. The Research Fellow/Research Associate is also expected to support teaching activities as required by the school.

Key Responsibilities:

• Propose novel ideas in response to latest research trends in the field of NLP
• Publish top-tier journal and conference papers on NLP and related applications
• Assist in mentoring of MSc dissertation students and undergraduate research students in their projects
• Prepare report and conduct presentation at seminars.
• Assist the school in various teaching activities, including instructing or supervision of labs and tutorials.
• Prior teaching experience is preferred for candidates. It would be good if the candidate can also explore areas such as multimodal algorithms/techniques involving speech/audio, images, and video along with text-based applications.

Job Requirements:

• MSc (Research Associate) or PhD (Research Fellow) in Electrical Engineering, Computer Science, Statistics, or other related fields.
• Solid Mathematical skills.
• Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also explore areas such as multimodal algorithms/techniques involving speech/audio, images, and video along with text-based applications.
• Good written and oral communication skills.
• Meticulous and good with data.
• Self-motivated and takes initiative.
• Independent and can work well with a team.
• Ability to adapt to changing priorities.

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

The Natural Language Processing group in the School of Computer Engineering, Nanyang Technological University, Singapore has one position for a PhD student in the areas of natural language processing (NLP) and ontology engineering as follows:
A PhD student position in collaboration with In Mind Computing ( funded by EDB ( aims at researching semantic search for customer relationship management and product configuration recommendation.
Company:
Nanyang Technological University
Qualifications:
The successful candidate should possess a good level of database knowledge. He/She should have experience in working with weakly structured data (e.g., RDF, graph data in general), information retrieval, recommender systems, and/or machine learning methods.
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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.

**Job Title:** AI Research Scientist for Advanced Language Models

At the forefront of artificial intelligence research, we seek an exceptional AI Research Scientist to lead our efforts in developing cutting-edge language models. As a key member of our team, you will drive innovation and push the boundaries of what is possible with large language models.

**Responsibilities:

• Drive core technology development for advanced language model code direction, continuously optimizing code comprehension, reasoning, and generation capabilities.
• Focus on improving code comprehension, reasoning, and generation capabilities in real-world production codebases, enhancing TikTok service code performance and privacy compliance.
• Explore Code Agent capabilities suitable for actual business production environments, and improve TikTok R&D efficiency.

**Qualifications:

• PHD with top artificial intelligence conference papers in machine learning, computer vision, natural language processing, and other fields.
• Programming skills, data structure, and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle, and other competitions are preferred.
• Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence.

**Why Join Us:

• Be part of a dynamic team driving innovation in AI research.
• Contribute to the development of cutting-edge language models that transform industries.
• Enjoy a collaborative work environment that fosters growth and creativity.

**We Are Committed to Creating an Inclusive Workplace:

We celebrate diversity and strive to create a workplace where every individual feels valued and respected. Our inclusive environment encourages diverse perspectives, ideas, and experiences, driving us towards excellence in AI research.

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

• Model Development & Deployment

• Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

• Implement explainability and interpretability layers to meet regulatory expectations.

• Compliance & Risk Applications

• Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

• Automate compliance document processing, regulatory reporting, and policy interpretation.

• Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

• Systems Integration

• Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

• Ensure robustness, scalability, and security of deployed models in production environments.

• Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

• Research & Innovation

• Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

• Prototype tools for proactive risk detection and regulatory change monitoring.

• Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us?

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.
• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.
• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.
• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.
• Data Engineering & Processing: Preprocess large datasets, design efficient pipelines for real-time and batch processing, and integrate multimodal data sources (images, text, audio, video).
• Deployment & Scalability: Deploy models in production using cloud-based or edge computing solutions, ensuring performance, scalability, and cost-efficiency.
• Research & Innovation: Stay updated on the latest AI research, evaluate emerging models, and propose enhancements to improve performance and robustness.
• Collaboration & Integration: Work closely with software engineers, data scientists, and domain experts to integrate AI models into end-user applications.

Requirements

• Degree in Computer Science, AI, Machine Learning, or a related field.
• 4 to 5 years of relevant experience
• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.
• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.
• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.
• Experience in AWS SageMaker for model training and deployment preferred.
• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.
• Strong problem-solving and analytical thinking abilities.
• Ability to work in a fast-paced, research-driven environment and adapt to evolving challenges.
• Excellent communication skills for presenting findings and collaborating across teams.
• Experience working with autonomous systems, robotics, or edge AI is a plus.

Interested parties, please click the "Apply Now" below AND apply via the GO portal.

We regret that only shortlisted applicants would be notified.

Toh Wen Qi, Celeste | REG No : R

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at You acknowledge that you have read, understood, and agree with the Privacy Policy.

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

Join to apply for the Machine Learning Engineer role at Atlassian

Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Overview
At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI — pioneering advanced modeling and rapid innovations that accelerate how teams work, discover, and create.

We’re seeking a Machine Learning Engineer (P40) to join our new GenAI Modeling & Innovation Forge in Singapore. You’ll work with a small, high-impact team focused on advanced GenAI modeling, rapid prototyping, and applied research—building the foundations of the next generation of AI-powered innovations across Atlassian.

Responsibilities

• Contribute to Advanced GenAI Models : Implement and fine-tune LLMs and embeddings under guidance from senior engineers and scientists.
• Build retrieval-augmented generation (RAG) and hybrid retrieval pipelines.
• Apply modern frameworks and best practices to support team experiments and prototypes.

• Prototype and Experiment : Help build proof-of-concept systems for GenAI-powered assistants and agentic workflows.
• Run experiments, collect data, and iterate quickly to improve models and features.
• Contribute to evaluation pipelines for groundedness, quality, and reliability.

• Collaborate and Learn : Work closely with ML engineers, applied scientists, and product teams to deliver end-to-end prototypes.
• Learn and apply best practices in ML engineering, experimentation, and deployment.
• Share results and insights to help drive the Forge’s mission of rapid innovation.

Qualifications

• Experience : 2–4 years in ML/AI engineering or applied ML roles.
• Hands-on experience with at least one area: LLMs, NLP, embeddings, search/retrieval, or ML pipelines.
• Exposure to building or deploying ML-powered features or prototypes.

• Skills : Proficiency with ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Familiarity with modern GenAI tools (LangChain, LlamaIndex) and vector databases (Weaviate, Pinecone, FAISS).
• Solid coding skills in Python and ability to write clean, maintainable code.
• Curiosity, adaptability, and eagerness to learn in a fast-paced environment.

• Education : Bachelor’s in Computer Science, Machine Learning, or related field—or equivalent practical experience.

• Nice to Have : Experience with data pipelines, backend engineering, or cloud platforms (AWS, GCP, Azure).
• Familiarity with search evaluation metrics (e.g., NDCG, ).
• Contributions to open-source ML/GenAI projects.
• Strong interest in applied research and rapid prototyping.

Why Join Us?

• Be part of the founding team of Atlassian’s Singapore-based GenAI Modeling & Innovation Forge.
• Work on cutting-edge applied GenAI projects with global visibility and impact.
• Learn from experienced engineers and scientists while contributing to meaningful prototypes.
• Join a mission-driven, remote-first company where innovation and growth are celebrated.

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.