538 Research Scientist Engineer Multimodal Interaction World Model jobs in Singapore

Responsibilities

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

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the Multimodal Interaction & World Model team. Our mission is to solve the challenge of multimodal intelligence、virtual reality world interaction in AI. We conduct cutting-edge research on areas such as Foundations and applications of multimodal understanding models, Multimodal agent and inference, Unified models for generation and understanding, World Model. Our team is comprising experienced research scientists and engineers who are dedicated to developing models that boast human-level multimodal understanding and interaction capabilities. The team also aspires to advance the exploration and development of multimodal assistant products. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Explore and research multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence and other cutting-edge technologies.

- Explore the basic model of large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and carry out extreme system optimization; Data construction, instruction fine-tuning, preference alignment, model optimization; Improve the ability of data synthesis, scalable oversight, model reasoning and planning, build a comprehensive, objective and accurate evaluation system, and explore and improve the ability of large models.

- Explore and break through the advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT and Agent, and build a universal multi-modal Agent for GUI/ games and other virtual worlds.

- Use pre-training, simulation and other technologies to model various environments in the virtual/real world, provide the basic ability of multi-modal interactive exploration, promote application landing, and develop new technologies and new products with artificial intelligence technology as the core.

Qualifications

Minimum Qualifications:

- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field. Computer, Electronics, Mathematics and other related majors.

- Have in-depth research in one or more fields such as computer vision, multimodal, AIGC, machine learning, rendering generation, etc.

- Excellent analytical and problem solving skills; Ability to solve large model training and application problems; Ability to explore solutions independently.

- With good communication and collaboration skills, proactive work, able to harmoniously cooperate with the team to explore new technologies and promote technological progress.

Preferred Qualifications:

- With excellent basic algorithms, solid foundation of machine learning, familiar with CV, AIGC, NLP, RL, ML and other fields of technology, CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH or SIGGRAPH Asia and other top conferences/journals published papers are preferred.

- With excellent coding ability, proficient in C/C++ or Python programming language, ACM/ICPC, NOI/IOl, Top Coder, Kaggle and other competition winners preferred.

- In the fields of multimodal, large model, basic model, world model, RL, rendering generation, leading projects with too much influence is preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: If you have any questions, please reach out to us at

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL's mission aligns seamlessly with Singapore's national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL's work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

ANGEL is looking for a Research Engineer/Research Scientist to support research work under the project "Urban Sustainability" which aims to develop a suite of techniques for efficiently and effectively building new digital infrastructure of city scenes, managing all city data in a high definition and 3D/4D referencing system, and performing simulation, interaction, and analysis on the digital twin city model. Specifically, the Research Engineer/Research Scientist will work on city-scale digital twin of road traffic to increase sustainability.  Achieving this goal requires accurate and up-to-date models of current real-world traffic conditions as well as methods for fast simulation to support real-time decision making and what-if analyses. Hence, methods will be developed for fast data-driven creation and calibration of traffic models, with an emphasis on approaches for data assimilation from real-time sources. Intelligent scheduling mechanisms to execute simulation runs in the cloud will ensure timely results, together with new approaches to support the parallelization of individual simulations by model analysis, variable model fidelity, and the use of hardware accelerators such as graphics processing units (GPUs).

Job Description:

• To support research work under the project "Urban Sustainability" and support research on work on city-scale digital twin of road traffic to increase sustainability.
• Work on developing accurate and up-to-date models of current real-world traffic conditions as well as methods for fast simulation to support real-time decision making and what-if analyses.
• To conduct high-quality research on algorithm design, analysis, and performance evaluation and publish research outcomes in top tier conferences and journals.

Job Requirements:

• MEng/PhD degree in computer science or related field
• Strong scientific publication record for Research Scientist position
• Excellent programming skills and experience in large system development
• Ability to work independently and with a large team
• Excellent analytical, technical, and problem-solving skills
• Strong verbal and written communication skills
• Previous experience with modeling and simulation, data science and/or machine learning, parallel and distributed computing, or hardware accelerators will be advantageous

We regret that only shortlisted candidates will be notified.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

A full stack software engineer is needed, with technical skills to work on both the front-end and back-end (the server-side logic, databases, and APIs) of a digital twin water quality prediction platform. The applicant should have a broad range of expertise in different programming languages, frameworks, and databases, allowing him/her to handle the entire software development process, from design and development to testing and deployment. Specifically, the applicant will be required to:

• Develop APIs, microservices, and data pipelines to support seamless data flow across the platform.

• Build intuitive and responsive web applications to visualize water quality data and predictions.

• Work with cloud platform (Azure) to deploy and scale the application.

• Ensure the platform's security, performance, and scalability.

• Write clean, maintainable, and testable code with an emphasis on quality and best practices.

• Participate in agile development cycles, including sprint planning, code reviews, and continuous integration.

• Stay updated on emerging technologies and trends to ensure that the platform remains innovative and cutting-edge.

Job Requirements

• Possess a bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
• Specific skills sets such as the followings will be preferred:
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React, Angular, ).
• Experience with back-end technologies like , Python, Ruby, or similar.
• Familiarity with database management (SQL, NoSQL).
• Experience with version control tools like Git.
• Knowledge of cloud technologies (Azure).
• Experience with containerization (Docker) and CI/CD processes is a plus.
• Strong problem-solving and analytical skills, with an ability to tackle complex technical challenges.
• Open to fixed-term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Civil and Environmental Engineering

Employee Referral Eligible: No

Job requisition ID : 30330

The candidate will be responsible for conducting research on AI for Head and Neck Cancer Screening. Successful candidate will be part of an active research team led by Prof Min Lee from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Develop and experiment an AI model to process and explain a video data
• Multimodal representation learning (videos/images + texts, etc.)
• Self-supervised learning
• Large language models
• Domain adaptation
• Work with a clinical partner
• Other duties as assigned

Qualifications

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 1 years of relevant research experience in AI and machine learning
• Basic knowledge/Proficiency in programming software/languages such as Python, Tensorflow, Pytorch is required
• Demonstrated experience and know-how on creating an AI/ML model
• Good analytical, technical and problem solving skills
• Applicants with research publications in AI & Health areas will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

Other Information

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

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Qualifications

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More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Division of Industrial Design

Employee Referral Eligible: No

Job requisition ID : 30146

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on AI for Head and Neck Cancer Screening. Successful candidate will be part of an active research team led by Prof Min Lee from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Develop and experiment an AI model to process and explain a video data
• Multimodal representation learning (videos/images + texts, etc.)
• Self-supervised learning
• Large language models
• Domain adaptation
• Work with a clinical partner
• Other duties as assigned

QUALIFICATIONS

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 1 years of relevant research experience in AI and machine learning
• Basic knowledge/Proficiency in programming software/languages such as Python, Tensorflow, Pytorch is required
• Demonstrated experience and know-how on creating an AI/ML model
• Good analytical, technical and problem solving skills
• Applicants with research publications in AI & Health areas will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

OTHER INFORMATION

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

Location: Singapore, Singapore

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we're driven by a mission to build a future we can all trust.

In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we're shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.

The Opportunity:

We are seeking a highly motivated Research Engineer to join our Research & Technology (TRT-SG) team. In this role, you will be at the forefront of advancing cutting-edge quantum RF sensing technologies, working on task such as simulations on thermal and EMI/EMC of cryocooling systems and experimental characterization of quantum superconducting electronic chips. As part of our dynamic R&T team, you will actively contribute to research projects from conceptualization to prototype development, collaborating with interdisciplinary experts to achieve transformative technological breakthroughs with practical applications in defense, communications, and precision measurement. This is an excellent opportunity to develop skills in simulation and hands-on experimental techniques, contributing to the advancement of cutting-edge quantum sensing technologies with real-world applications.

Responsibilities:

• Perform thermal simulations of cryocooling systems to analyze heat transfer and system performance.
• Conduct EMI/EMC simulations to assess electromagnetic compatibility of cryogenic hardware.
• Analyze simulation and experimental data to support hardware design improvements.
• Hands-on design, build and test of hardware prototypes to validate their performance and functionality.
• Work with multidisciplinary teams, to advance R&D goals.
• Collaborate with academic institutions, industrial partners, and government agencies to transition research into practical applications.
• Plan and manage R&D projects, including defining objectives, timelines, budgets, and risk mitigation strategies.
• Prepare detailed technical documentation, progress reports, and stakeholder presentations.
• Contribute to TRT-SG research work products and knowledge sharing thru potential patents, external and Group internal conferences and presentations, publications etc.

Requirements:

• Bachelor/Master/Ph.D. in Physics or engineering related discipline.
• Good understanding of quantum mechanics, semiconductor technologies, and RF Photonics
• Basic knowledge in thermal simulation, EMI/EMC principles, or quantum device characterization is desirable.
• Familiarity with simulation tools such as COMSOL Multiphysics, ANSYS, MATLAB, or similar platforms is a plus.
• Knowledge of transitioning technologies from low TRL research to high TRL prototypes.
• Proven ability to work independently, formulate research plans and take initiative.
• Demonstrated excellent interpersonal communication skills.
• Preparation and review of analysis presentations and reports. Presentation of analysis results at internal and external working group meetings.
• Support collaborative research efforts with other team members.

At Thales, we're committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you'll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The National University of Singapore (NUS) invites applications for a Research Engineer (Soft Robotics) position. The selected individual is required to:

• Provide support in leading the humanoid robot design, development, and evaluation.

Qualifications

• Possess a bachelor's degree in engineering or related field.

• Familiar with Humanoid robot design

• Prior experience with robotics is preferred.

• Aid in system development and evaluation.

• Possess good written and spoken communications.

• Open to fixed term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Biomedical Engineering

Employee Referral Eligible: No

Job requisition ID : 30452

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

Research Engineer position in the Department of Materials Science and Engineering at National University of Singapore (NUS). With a strong focus on industrial projects, we are developing our exciting technologies beyond the lab scale. We are seeking a talented and experienced individual with a background in chemical engineering and electrochemistry to join us.

As a Research Engineer, you will contribute to our industry projects focusing on scaling up our electro-metallurgical battery recycling technologies from lab to pilot scale. Main activities include

• Engineering design, Heat & Mass balances, equipment selection and sizing calculations and flowsheet development (PFD, P&IDs) for scale up systems.

• Support testing and optimization of small scale and pilot scale systems, including troubleshooting of process.

• Document all process development, testing, and optimization efforts, and contribute to technical reports and presentations.

• Liaising with suppliers and contractors for equipment procurement and setting up scale up systems.

Qualifications

1. Bachelor's or Master's in Chemical engineering, Metallurgical engineering, Electrochemical engineering, Chemistry or other relevant fields.
2. 1-3 yrs experience in metals extraction (Li, Ni, Co, Mn, Cu) from primary ore, secondary sources (waste, tailings), downstream processing and Electrochemical processes is preferred.
3. Prior hands-on experience in process development and piloting new technologies is desired. Above 5 yrs experience will be considered as a senior role to lead pilot scale operations.
4. Good knowledge of process safety (HAZOP, PHA).
5. Strong analytical skills and experience in data analysis and interpretation.
6. Highly motivated, detail-oriented, and able to work independently as well as part of a team.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Materials Science and Engineering

Employee Referral Eligible: No

Job requisition ID : 30377