Total 624 operations engineer job vacancies in Education / Training category in Singapore

We are seeking an enthusiastic and dynamic Operations Research Analyst to oversee our Indian restaurant.

The ideal candidate will pocess deep knowledge in Indian cuisine.

With a background in statistics and operations research you will be equipped to drive operational efficiency and implement data driven strategies.

1. Leveraging Emerging Technologies

• Augmented Reality (AR): Offer immersive menu previews or virtual tours of your unique barefoot dining experience.
• AI Chatbots: Implement AI-driven chatbots for answering FAQs, taking reservations, or promoting specials.
• IoT (Internet of Things): Use IoT devices for smart energy management, temperature control, and equipment monitoring.

2. Streamlining Operations

• Point-of-Sale (POS) Systems: Implement advanced POS systems to manage orders, track inventory, and generate sales reports efficiently.
• Inventory Management: Use digital tools to automate stock tracking and reduce waste by forecasting ingredient usage.
• Kitchen Display Systems (KDS): Digitize order management in the kitchen for faster and error-free service

3. Enhancing Customer Experience

• Reservations and Waitlist Systems: Set up digital platforms to manage bookings and reduce customer wait times.
• Contactless Dining Solutions: Integrate QR code menus, online ordering, and digital payment options for a seamless dining experience.
• Feedback Management: Use apps or platforms to collect, analyse, and respond to customer reviews.

4. Boosting Marketing and Branding

• Social Media Strategies: Leverage tools to automate and optimize content posting, engagement, and analytics for platforms like Instagram and TikTok.
• Data Analytics: Analyse customer data to create targeted marketing campaigns and promotions.
• Website and SEO Management:

Enhance your website for better visibility and include features like a blog, menu, and reservation system

Any other tasks as assigned by the Manager which improves the efficiency of the restaurant operations.

• Role reports to: Sr. Director, Operations Learning

What you will do

• Enable Operations-related learning for the ~2,200 APAC Operations employees (including shopfloor), including:

• Deploy global Operations Learning strategy and learning resources (excluding deep functional learning)

• Own and deploy the 2025 APAC learning approach (including facilitating learning sessions taught by regional leaders) in partnership with key stakeholders (BUHR, communications and APAC Culture Champions); and

• Pull through central learning at Kenvue learning resources and initiatives (including adoption of new Learning at Kenvue platform), in alignment with Learning at Kenvue philosophy

• Build trust and credibility with regional leadership and the broader organization. Collaborate closely within region (APAC Operations LT and key stakeholders) and globally (Global Operations Learning Team, and various global stakeholders as required e.g., Learning at Kenvue team).

• Uncover insights into regional nuances and apply those insights to inform regional learning initiatives and outcomes, including close partnership with APAC Internal Manufacturing sites to drive learning for our shopfloor teams.

• Collaborate closely with EMEA and Americas regional counterparts to drive consistent application of learning strategy and initiatives.

• Serve as a Learning & Development champion and advocate for the Learning function in Operations, who tracks and communicates value creation and impact of Operations Learning.

• Partner with Operations Learning team to develop and deploy post-learning analysis and measurement/survey reviews to understand business impact of learning

• Required skills / experience

• Strong and demonstrated interest in building the capability of employees (e.g., training, learning, skill development)

• Experience in either orboth of:

• training / learning and development experience

• working within Operations functions

• Excellent communication and interpersonal skills, including the ability to:

• influence and build relationships at all levels of the organization, adjusting style where appropriate; and

• distill complex data and ambiguous information into simple comprehensible insights and analysis (verbally, in writing and through presentations, reports and dashboards)

• Strong leadership and collaboration skills with the ability to work effectively with senior management, stakeholders, and cross-functional teams

• Sound project management skills, with the ability to manage multiple initiatives simultaneously and self-manage priorities with competing demands

• Demonstrated ability to translate strategy into tangible execution

• Preferred skills / experience

• Experience working with teams across multiple countries or markets (regional or global exposure)

Job Scope:

• Provide comprehensive logistical support during the conduct of school camps at the Outdoor Adventure Learning Centre (OALC), including but not limited to:

o Assisting in the setup and arrangement of camp facilities, ensuring they are conducive for the camp activities.

o Coordinating with camp facilitators and staff to facilitate smooth operations and address any logistical needs that may arise during the camp.

o Overseeing the distribution and collection of camp equipment and supplies, ensuring their proper usage and storage.

o Assisting in the management of emergency response procedures and ensuring the safety and well-being of camp participants.

• Provide support in restoring OALC facilities back to their original state in readiness for the upcoming camp, including but not limited to:

o Conducting thorough checks and maintenance of camp equipment, reporting any issues for timely repair or replacement.

o Collaborating with the maintenance team to ensure cleanliness, functionality, and readiness of camp facilities for the next camp.

• Support camp operations, including but not limited to:

o Assisting in the setup and arrangement of sleeping quarters, dining areas, and activity spaces to meet the specific requirements of each camp.

o Collaborating with the meal caterer to facilitate the provision of meals and snacks for camp participants, ensuring dietary requirements and food safety standards are met.

o Assisting in the breakdown and storage of camp equipment and supplies at the conclusion of each camp, ensuring proper inventory and organization for future use.

• Assist in general administration work.

Requirements:

• Considerable amount of physical work is required to move and handle camp-related objects and equipment, including the ability to lift and carry heavy items.

• Able to effectively communicate with camp staff, facilitators, and participants, ensuring clear and accurate exchange of information.

• Comfortable working in an environment with students aged 10 – 15 years, demonstrating patience, empathy, and the ability to maintain a safe and supportive atmosphere for young camp participants.

• Minimum 1 year of work experience preferably in a school or camp environment, demonstrating familiarity with school operations, camp logistics, and the unique needs of young camp participants. This may include experience in roles such as camp counselor, school support staff, or similar positions involving direct interaction with students and logistical responsibilities.

Skills:

• Proficient in organizing items for housekeeping matters, ensuring cleanliness and orderliness of camp facilities, including:

o Managing the distribution and collection of bedding, towels, and personal items for camp participants.

o Coordinating the disposal of waste and maintaining cleanliness in common areas and facilities.

o Assisting in the setup and arrangement of equipment for camp activities, ensuring they are accessible and in good condition.

• Strong ability to collaborate with others and communicate clearly, including:

o Working effectively with camp staff and facilitators to address logistical needs and ensure the smooth execution of camp activities.

o Communicating with camp participants to provide guidance, support, and assistance as needed, fostering

Working Arrangement:

• Mondays to Thursdays: 8am to 5:30pm

• Fridays: 8am to 5pm

• Service not required on Saturdays, Sundays and gazetted public holidays

Location: Changi Coast Walk

Contract Period: 10 Feb to 6 June 2025 & 30 June to 29 Nov 2025

EA License No: 96C4864

Reg. No.: R24121728 EUNICE WOO JING QI

Your new company

Client is an electricity distribution company in Singapore seeking to hire a Training Operations personnel

Location:

Current: Woodleigh

Mar 2025 onwards: Bedok

Salary: up to $2,800 + completion bonus

Work hours: Monday – Friday 8am – 5.30pm

(Ad-hoc class support on Saturday and weekday evening – under overtime claims)

Your new role

• Assist customers on course enquiries and registrations

• Follow up on billing and payment

• Logistic preparation for class (attendance, exam administration & etc)

• Daily course support and exam administration

• Update attendance and assessment result

• Course Evaluation Download

• Ordering of stationery, certificate, safety card, water drums & etc

• Ad-hoc class support for Saturday and weekday evening lessons

• Any other tasks assigned

What you'll need to succeed

• Diploma in relevant Business discipline from any of the recognised Polytechnics in Singapore

• Possess at least 1 – 2 years of relevant experience

• Proficient in Microsoft Office Application (Word, Excel and PowerPoint)

• Excellent customer facing skills together with strong communication

• Good analytical and problem-solving skills

• Ability to work independently

• Knowledge of training operations work would be an advantage

What you'll get in return
This is an exciting opportunity to join an MNC. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call Francesca at Hays on +65 6027 2257 or email [email protected] for a confidential discussion. Referrals are welcome.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

EA Reg Number: R1660446

EA License Number: 07C3924

Company Registration No: 200609504D

The Research Engineer will work under the Senior Researcher of Obayashi Construction Tech Lab Singapore (OCLS) on a collaborative research project with a university in Singapore. In this project, the Research Engineer will be involved in the development of a robotics- related platform and will also conduct tests by bringing the robot to construction sites and handling on-site debugging.

Job Responsibilities:

• Contributing to the development of robotics-related platforms, ensuring alignment with project goals and specifications.
• Creating comprehensive test cases to evaluate platforms functionality and performance.
• Conducting acceptance testing of programs developed by the university to ensure they meet project specifications and standards.
• Assessing the compatibility of robotics-related platforms with construction robots in the market to ensure smooth integration and operational efficiency.
• Developing and testing the adapter for industrial construction robots leveraging open-RMF
• Conducting field tests by deploying robots and the platform at construction sites to evaluate performance and functionality.
• Performing on-site debugging and troubleshooting to address any issues that arise during testing.
• Documenting research findings and contributing to project reports and presentations.
• Defining and managing the detailed project specifications and requirements.
• Assisting in the planning and execution of robotics-related events, including support for coordination, logistics, and on-site management.
• Supporting for the formulation of strategies for the commercialization of research results and business initiatives in the field of construction robotics.
• Other related tasks as required by job role.

Minimum Qualification:

• Master’s degree in Robotics, Mechanical Engineering, or Electrical Engineering related field.
• 2-5 years work experience

Knowledge/Skills/Abilities:

• Experience with Ubuntu, docker, ROS2
• Coding in C++, Python
• Project management experience
• Coding in JavaScript, TypeScript
• Experience with Gazebo/Isaac Sim
• Knowledge in data base / edge computing / front-end
• Construction industry experience
• BIM tools

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

IC Designer, designing high frequency circuits targeting for transceiver applications, employing CMOS technology. The candidate needs to come up with novel architecture with speed, power, and area advantage compared to existing architecture.

The job also includes circuit design, pre and post-layout simulation, mask layout and PCB testing.

Qualifications

• Bachelor or Master degree in Electrical Engineering.
• Experience in EDA tools usage, including Cadence, Spectre, EMX, Synopsys, as well as Matlab.
• Some knowledge on communication system, such as BER, eye diagram, modulation/demodulation, pre-emphasis and etc.
• Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Engineer to join our team, specializing in the hands-on experimentation and characterization of materials. The successful candidate will work closely with the research team to conduct materials characterization, perform electrochemical testing, and contribute to the development of innovative solutions for lithium battery recycling. This role requires a candidate with hands-on experience in material science techniques and electrochemical methods.
Key Responsibilities:

1. Perform experiments and characterization of materials using analytical techniques such as ICP, XRD, and FTIR.
2. Conduct electrochemical analysis, including cyclic voltammetry, LSV and other related techniques.
3. Prepare samples for testing and ensure proper calibration and maintenance of equipment.
4. Analyze and interpret experimental data, providing clear and concise reports to the research team.
5. Collaborate with cross-functional teams to ensure experimental objectives are achieved.
6. Maintain accurate records of experiments and uphold laboratory safety protocols.
7. Assist in troubleshooting and optimizing experimental procedures as needed.
8. Assist in lab procurement activities.

Qualifications

1. Bachelor’s or Master’s degree in Materials Science and Engineering, Chemical Engineering, or a related field.
2. Hands-on experience with material characterization techniques such as ICP, XRD, SEM and FTIR.
3. Proficiency in electrochemical methods is highly preferred.
4. Strong analytical and problem-solving skills with attention to detail.
5. Effective communication skills, both written and verbal, to document and present findings.
6. Ability to work independently as well as collaboratively within a team.
7. Knowledge of laboratory safety protocols and best practices.
8. Experience in data analysis and interpretation software (e.g., Origin).
9. Familiarity with additional characterization techniques is an added advantage.
10. Prior experience in an R&D or industrial laboratory setting.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic impact. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistics tests.

Job Requirements

The research fellow should have at least 3 years relevant experience in the following two areas:
• 3D concrete printing;
• Conducting laboratory ballistic tests.

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the photonic device fabrication based on Silicon-based material platforms (Silicon-on-Insulator, Silicon Nitride, Germanium (Ge), and SiGe), Lithium Niobate, and III-V semiconductor materials. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize integration flow for Silicon Nitride-based and Lithium Niobate-based photonic devices, including lithography, etching, deep-trench, and dicing.
• Design of experiments (DOE) for different process integration flows.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experiences in semiconductor industry, preferably in silicon photonic processes.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Research Engineer

As part of National Semiconductor Translation and Innovation Center (NSTIC), the candidate will be involved in the development of heterogeneous integration process for realizing multi-functional photonic devices. The candidate will work closely with multidisciplinary team with diverse expertise.

Responsibilities

• Develop, design, and optimize die-to-wafer bonding process employing III-V semiconductor material, Lithium Niobate on Insulator (LNOI), and Si-based material platforms.
• Design of experiments (DOE) for various Die-to-Wafer (D2W) bonding methodologies.
• Liaise between design, fabrication, and testing teams to ensure smooth process integration and device fabrication.
• Metrology, data analysis, and documentation
• Present and discuss experimental data to the team

Qualifications

• Degree in Electronics Engineering, Microelectronics, Physics, or equivalent.
• Experience in semiconductor industry is preferred. Those with strong familiarity with wafer-to-wafer and die-to-wafer bonding process may be considered for a senior position.
• Good critical thinking and problem-solving ability.
• Able to work with cross-functional team, with good communication/presentation skill.
• Able to work in a fast-paced and collaborative environment

Summary:

Being a new entrant in Singapore's R&D landscape, Skywork AI Singapore is dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation models and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. The work on Agents delives into both virtual and physical agents, propelling us into the forefront of AGI development.

Skywork AI Singapore is partnering with universities in Singapore, to invite motivated candidates to enroll in a PhD program and work at Skywork AI Singapore. Successful candidates will become full-time employees of Skywork AI and should qualify to be admitted into the PhD Programme at one of the universities in Singapore.

Candidate's Expectation:

• Work with our research scientists to conduct groundbreaking research in the AGI field, focusing on Foundation Model 2.0 and Agents
• Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community
• Embrace the entrepreneurial spirit and actively explore technology transfer opportunities into business products

Desirable Experience:

• Demontrate a strong interest in a career in computer science
• Keen to study and perform research in areas such as Artificial Intelligence, Computer Vision, Deep Learning, Game AI, Natural Language Processing, Reinforcement Learning, and Speech Recognition. (Preferably but not limited to)
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX
• Possessed Bachelor's or Master's Degree in Computer Science/Engineering, Statistics, Mathematics, Data science, or related fields is highly desirable
• Not a recipient of, or hold any other scholarship or other award of a monetary nature (Excluding bursary and financial aid);
• Must meet the postgraduate admission and academic requirements
• For existing PhD candidates, must be 2 years or less into the postgraduate program

IPP trainees will be able to enjoy the following benefits:

• A Monthly salary of SGD6,000, in addition to CPF (for citizens and PRs), Medical Insurance, and many employment perks
• Sponsorship of tuition fee for 4 years
• Conference and travel allowances
• Computing equipment and GPU resources

Apply:

Interested candidates may send the latest Curriculum Vitae, transcripts, motivation letter and publication list to [email protected] to explore this exciting opportunity. Kindly indicate in your motivation letter, the University and intake that you have applied to e.g. NUS August 2025 intake.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

Job Summary:

We are seeking a Senior AI/ML Engineer to design, build, and optimize machine learning models and AI solutions that solve real-world problems. You will lead the development of end-to-end pipelines, deploy scalable AI systems, and collaborate with cross-functional teams to drive innovation and deliver impactful solutions.

Responsibilities:

• Design, develop, and deploy machine learning models and AI solutions for production environments.
• Build and optimize data pipelines to preprocess, clean, and transform large datasets.
• Conduct research and implement cutting-edge techniques in machine learning, deep learning, and AI.
• Fine-tune models for performance, accuracy, and scalability based on business requirements.
• Collaborate with data engineers, product teams, and stakeholders to define AI/ML use cases.
• Monitor model performance and continuously improve deployed solutions.
• Develop and maintain documentation, including model architecture and deployment processes.
• Mentor junior engineers and provide technical leadership in AI/ML projects.

Requirements:

• A graduate in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in developing and deploying AI/ML solutions.
• Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data processing frameworks (e.g., Pandas, NumPy, Spark).
• Proficiency in building and deploying ML pipelines using tools like MLflow, Kubeflow, or AWS SageMaker.
• Solid understanding of algorithms, deep learning architectures, and statistical methods.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong problem-solving and communication skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

We are looking for a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The position will focus on modeling the dynamics and fabricating cryogenic components for the superconducting levitation of ferromagnetic particles.

This levitated, freely precessing particle forms a system of correlated spins, capable of rapidly averaging out quantum uncertainty. By harnessing this system, we aim to develop quantum sensors with sensitivities that exceed the standard quantum limit.

This position is based in the Quantum Innovation Centre (Q.Inc) and Institute of Materials Research and Engineering (IMRE). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Learning to operate a dilution refrigerator

Job Requirements:

• Bachelor's or master’s in physics, Applied Physics, Precise Instrumentation, or related fields
• Past experience in the job activities listed above is preferred, but a strong willingness to learn is sufficient. Trainings will be provided.
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Basic programming skills (e.g., Python, MATLAB)
• Mechanical design
• Ability to work as a team and communicate effectively

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities

About Doubao (Seed) Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed 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 is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application 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

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Minimum Qualifications

1. At least hold a Master degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application; 5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are 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.

Job Description:

• Design, implement and optimize algorithms (e.g. SLAM) for real-time, high-precision localization of autonomous vehicles using sensor fusion of GNSS/IMU/DR, LiDAR, cameras, HD Map, and other sensors.
• Develop and maintain high-definition (HD) maps for autonomous driving applications. Work on the creation, updating, and management of detailed maps that include lane information, road geometry, traffic lights/signs, and other relevant features.
• Improve perception models for feature detection and tracking. Use deep learning and computer vision techniques to detect key features such as road boundaries, obstacles, and dynamic objects to enhance mapping and localization accuracy.
• Develop test plans, perform validation, and run simulations and testing to ensure the accuracy, reliability, and safety of mapping and localization systems in both controlled and real-world environments.
• Stay up to date with the latest advancements in localization, mapping, and autonomous driving technologies. Lead efforts to continuously improve the performance and capabilities of our mapping and localization systems.
• Write professional design and technical documentation.

Job Requirements:

• Master’s or Ph.D. degree in Robotics, Computer Science, Electrical and Electronic Engineering, Computer Vision, Deep Learning and AI, or a related field.
• Working experience in localization, mapping, or autonomous driving systems is preferred.
• Expertise in key mapping and localization techniques including GNSS/IMU/INS, SLAM, and especially deep learning-based perception and sensor fusion.
• Strong analytical and problem-solving skills, strong programming skills in Linux C/C++, excellent communication skills, ability to work collaboratively with the team, etc.

The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.

Interested candidates may also apply or write in to CS Chua, EA 12C6130/ R1548619 [email protected]. Shortlisted candidates will be contacted for a discussion.

At Temasek Laboratories@NTU, our mission is to undertake cutting-edge research in defence science and technology, driving new solutions and advancements across various research areas, including Microsystems Technology, Hardware Assurance, Signal Processing, Advanced Materials, Advanced Laser Technology, and Emerging Technologies.

Microsystems Technology Development Centre (MTDC) at TL@NTU is having ISO certified III-V Wafer Fabrication Line up to 100-mm diameter wafers with strong industrial/academic experienced Technical Specialists/ Engineers/ Scientists. We are a fast-paced research facility that designs, develops, and manufactures integrated chips, i.e. heterogeneous system in package modules, for defence and commercial applications.

We are looking for a hands-on Thin Film engineer who demonstrates a positive attitude, collaborates well in a team, and possesses strong technical abilities along with sound problem-solving skills.

Key Responsibilities:

• Work with the module leader and execute the design of experiment (DOE) using advanced techniques such as sputtering, evaporation, and chemical vapor deposition (e.g. SiO2, SiON, TaN, Au, Ti, Al, Ni, Pt and etc.).
• Develop and optimize deposition parameters to achieve precise film thickness, uniformity, and quality.
• Help to identify and troubleshoot process issues, working towards yield enhancement and performance improvement.
• Utilize a range of characterization techniques, including optical microscopes, surface profiler, SEM, Ellipsometer to analyze thin film properties.
• Maintain detailed documentation of processes such as standard operating procedure (SOP), experimental setups, and results for future reference and knowledge transfer and including training.
• Oversee the operation of laboratory equipment and ensure proper functioning. Work with the equipment vendor to conduct routine maintenance, troubleshooting, and calibration of equipment to minimize downtime.
• Work with the University’s procurement team to source and acquire necessary equipment. Evaluate and select vendors, ensuring equipment aligns with research requirements and budget constraints.
• Adhere to laboratory safety protocols and ensure compliance with University and regulatory standards.
• Collaborate with different modules and team members.
• Communicate effectively with team members, providing updates on processes and status of equipment.

Job Requirements:

• Diploma in Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering) with 3 years of relevant working experience or Bachelor’s degree in any Engineering (e.g. Microelectronics, Electrical & Electronics Engineering, Material Engineering).
• Hands-on working experience in semiconductor fab/cleanroom environment in Thin Film area preferred (e.g. SiN, SiO2, TaN, Al, Au, Ti, Ni, Pt and etc.).
• Ability to create and analyze DOE for Thin Film process.
• Experience in wet bench processes, especially the lift-off technique, is essential.
• Basic knowledge in semiconductor fabrication process and device physics.
• Strong understanding of thin film materials and their properties, with expertise in process optimization and troubleshooting.
• Excellent problem-solving skills and ability to work effectively in a collaborative team environment.
• Strong communication skills, with the ability to convey complex technical concepts clearly and concisely.
• Commitment to maintaining high standards of safety, quality, and professionalism in all aspects of work.

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

Responsibilities

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 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.

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:

- Bachelor degree or above, 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.

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 optimizing the processing of multi-modal input (especially a combination of event (neuromorphic) vision sensors and RGB camera sensors) for visual grounding tasks, and for also embedding such optimizations in early prototypes of AI-based systems for text+vision tutoring support (e.g., for geometry learning).

Successful candidate will be part of an active research team led by Prof Archan Misra from School of Computing and Information Systems, Singapore Management University.

The candidate will have the following key duties:

• Develop and implement new algorithms for efficient processing of hybrid RGB & event vision streams to extract semantically relevant sensory data for visual grounding tasks.
• Develop and implement optimizations to DNN inferencing pipelines, including the integration of Spiking Neural Network (SNN) models, to reduce latency of visual grounding AI models without adversely affecting accuracy.
• Conduct experimental studies (including generation of training data) to quantify the resulting system performance and generate appropriate analytical artifacts (e.g., graphs, reports) to document such performance
• Support the research team to produce high-quality research publications

• Minimum Bachelor degree in Computer Science, Computer Engineering, or closely related disciplines from a reputable institution of higher learning
• 2+ years of relevant research experience in developing and implementing AI models for advanced visual perception tasks
• Coding experience with DNN and vision AI frameworks, such as pyTorch, TensorFlow and/or OpenCV, is essential.
• Project-level experience with vision DNNs and SNNs (Spiking Neural Networks), especially involving data generated by event-based vision (aka neuromorphic) sensors, is essential
• Ability to work cooperatively as part of a small, agile academic research team is essential
• High quality publications in academic venues related to AI for vision and low-power embedded systems is strongly desired

#LI-JN2

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build hardware for the next generation of the ion trap quantum processor. This includes design and implementation of the modular and compact optical system for the laser beam modulation using acousto-optical and electro-optical modulators, delivery of the beams to the inside the vacuum chamber, and implementation of the diffraction limited optical system for ion imaging and addressing of the individual ions with the laser beams.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the optical systems in the final product.

Job Requirements

We are looking for several optical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Ph.D. in optical engineering, physics or related areas;
• At least 1-2 years of experience in optical design, implementation and testing of the optical or laser systems is preferred.
• Experience in optical design, familiar with optical (for example, Zemax or OSLO) and mechanical (Autodesk or Solidwork) CAD software, able to assemble and test complex optical systems.

Responsibilities

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 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.

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:

- Bachelor degree or above, 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.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

To support the research project titled:

• Technology Development of Thermal Management, Lifetime Assessment and Prognostics for Li-ion Battery Energy Storage System in Next-Generation Grid
• Design and Development of Compact Energy Storage System
• Design and Development of ESS coupled with solid state transformers

This job position is required for recruiting a highly educated and experienced researcher with experience to develop battery management system for lithium-ion battery packs in energy storage system application. It will also fulfil the objective of NTU in developing energy storage system and novel renewable energy technologies.

Key Responsibilities:

• Develop overall battery management scheme according to system performance requirement
• Design and develop software of battery management system
• Design and develop hardware and PCB layout of battery management system
• Design and develop state estimation algorithm of battery management system
• Design and develop balancing control strategy of battery management system
• Conduct simulation test and debug of developed software of battery management system
• Conduct simulation test, layout design, PCB design, manufacturing, and testing
• Conduct simulation test of the designed algorithm, balancing strategy.
• Responsible to prepare design progress document and final project report

Job Requirements:

• Masters degree in electronics, control, electrical, or similar
• Research or working background in lithium-ion battery product development and production is a must.
• Experience in technology development for lithium-ion battery management system is required.
• Candidate must be familiar with design requirements on control, state estimation, balancing of battery packs
• Familiar with software like Matlab/Simulink, Keil, CodeWarrior, Altium Designer.
• Understand development progress of battery management system product
• Self-motivated and takes initiative
• Independent and can work well with a team
• Organized and detail oriented
• Excellent verbal and written communication skills

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

Responsibilities

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 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.

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:

- Bachelor degree or above, 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.