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

To conduct research in area of fabrication of 2D materials-based devices and circuits.

Qualifications

• PhD degree
• Strong communication skills, motivation in scientific research, and experience in writing scientific papers are required.
• Candidates with a strong background in electronics device fabrication. The experience of fabricating devices with 2D materials is a must.
• Recent Ph.D. and postdocs with a background in devices fabrication or a related field are encouraged to apply.
• Applicants must have publications in the field of 2D devices.

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 looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Roles and Responsibilities

• Care and nurture a group of school-going children before and after school hours
• Engage, plan, and conduct programmes for children in the classroom and outdoor activities
• Provide homework supervision
• Ensure safety, healthy, and conducive environment
• Coach children in their mother tongue especially Chinese language will be preferred

Requirement

• Have a keen passion to work with children (age from 7 to 12 years old) and their families
• A team player and possess good communication skills
• Individual with at least 5 G.C.E ‘O’ level qualifications and familiar with Primary School’s syllabus
• Only Singaporeans/SPRs

Our address: Good Shepherd Student Care, 790 Thomson Road Singapore 298142 (near to Caldecott MRT)

Working Hours: Monday to Friday (Except Wednesday), 7 am to 4 pm. Wednesday 7 am to 1.30 pm

Working Location: Bukit Batok

Job Description

• Deliver clear and effective lessons using a variety of relevant teaching strategies for students with autism
• Play an important role in the planning and development of curriculum and programmes to facilitate student learning
• Exhibits deep commitment to the holistic education and development of students
• Work collaboratively with a multi-disciplinary team and with parents in providing quality education and care for the students
• Understand students' diverse learning and developmental needs, interests, abilities and potential through observations, diagnoses and discussions (with students, parents and colleagues), and adapts approaches accordingly
• Work collaboratively with a multi-professional team and parents in providing quality education and feedback for students.
• Plan and write IEP lesson plans, reports, records and documentation.
• Guide and coach Teacher Aides

Job Requirements

• Recognised Degree or Polytechnic Diploma
• Teaching qualifications or equivalent in Special Education is preferred
• 5 credits in GCE 'O' level with a pass in English and Mathematics is mandatory
• Preferably 3 years of experience at primary level
• Familiar with national curriculum
• Demonstrate passion in teaching
• Experience in teaching children and youths with autism will be an added advantage

Job Description

· Execute and conduct age-appropriate lessons based on MI curriculum

· Ensure the safety and well being of children aged between 18mths to 4 years old

· Foster a trusting and respectful relationship with children and parents

· Design and prepare portfolios for children

· Observe and assess each child’s progress, providing feedback to parents and collaborating with them to support their child’s development

· Maintain quality classroom and learning environment that promotes learning

· Undertake other assignments given from time to time

Job Requirements:

· ECCE Certified ACEY/ L1 /L2

· Min 1 years experiences in related field

· Passion for children and able to engage them

· Team player and able to work well with others

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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

Site Reliability Engineering (SRE) of AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run massively distributed AI/recommendation system around the world.

On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

SRE ensures that the very centric machine learning services at TikTok and its affiliates have the highest level of availability, as well as creating highly automated systems and pipelines.

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

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Expertise in analyzing and troubleshooting distributed systems.

- Experience programming in at least one of the following languages: Python, C/C++ or Go.

- With solid background of algorithms and data structures.

Preferred qualifications:

- Ability to design and maintain large-scale systems.

- Strong understanding of code optimizing and routine tasks automation.

- SRE experience on large scale distributed system.

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: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We seek to recruit a highly motivated individual to join the research group of Prof. Rong Li as a postdoctoral fellow at the Mechanobiology Institute, National University of Singapore. Candidates should possess an MD and PhD, as well as a strong publication record in the field of human reproductive biology and in-vitro fertilization. They should also have a strong background in cell and molecular biology, as well as excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment. The successful candidate will have opportunities to work closely with talented, motivated senior research fellows and interdisciplinary PIs, as well as with cutting-edge methodologies and instrumentation.

Qualifications

• MD and PhD in molecular cell biology or relevant biomedical disciplines
• Competence in cell and molecular biology
• Experience in image analysis, photomanipulation and bioinformatics are highly desired.
• Excellent communication and organizational skills
• Highly motivated to work both independently and as a team member

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.

More Information

Location: Kent Ridge Campus

Organization: Mechanobiology Institute

Department : Research

Employee Referral Eligible: No

Flexi Work Arrangements, Essential Financial Knowledge, Attractive Remuneration

We believe in providing a holistic approach in service to our clients, ensuring their needs are met and satisfied in our care. And we believe that it starts with us!

Join our team as a Financial Advisor and enjoy a flexible work setting, comprehensive training, support structure, together with market leading remuneration. This role is ideal for both fresh graduates and those seeking a mid-career switch. Connect with us and embark on a rewarding career in financial advisory

A Day in The Life of a Financial Advisor:

• Client Networking: Establish and grow a robust client base through effective networking and prospecting strategies.
• Financial Strategy Development: Analyze clients' financial situations and goals to create tailored financial strategies.
• Insurance and Financial Advisory: Provide comprehensive advisory on insurance and financial planning, covering areas such as retirement, education, and investments, supported by our extensive product suite.
• Financial Analysis: Presenting detailed financial summaries, investment reports, and income projections for clients.
• Client Relationship Management: Maintain and strengthen client relationships through regular reviews and adjustments to financial plans based on life changes.

Benefits & Rewards:

• 24-months Trainee Program: Provides monthly allowance + commission, supporting you in the first 24 months of your career.
• Extensive Training and Support Structure: Regular workshops, training & sharing sessions within the agency and individual mentorship ensuring support along the way.
• Flexi-Hybrid Work Setting: Enjoy a hybrid work setting with flexible work arrangements.
• Attractive Rewards: We believe in 'work hard, play hard', with incentives for top performers & fun team-bonding events.
• Market-leading Remuneration Structure: Market-leading remuneration package along with an attractive incentive system, including commissions, performance incentives, and up to 3 incentive trips a year.

Qualifications:

• Singaporean / Singapore PR preferred
• Minimum 21 years old with Polytechnic Diploma, GCE 'A' level Certification or Bachelor Degree in any field, as per MAS requirements.
• Highly motivated with strong interpersonal skills

Apply now to find out more!

Flexi Work Arrangements, Essential Financial Knowledge, Attractive Remuneration

We believe in providing a holistic approach in service to our clients, ensuring their needs are met and satisfied in our care. And we believe that it starts with us!

Join our team as a Financial Advisor and enjoy a flexible work setting, comprehensive training, support structure, together with market leading remuneration. This role is ideal for both fresh graduates and those seeking a mid-career switch. Connect with us and embark on a rewarding career in financial advisory

A Day in The Life of a Financial Advisor:

• Client Networking: Establish and grow a robust client base through effective networking and prospecting strategies.
• Financial Strategy Development: Analyze clients' financial situations and goals to create tailored financial strategies.
• Insurance and Financial Advisory: Provide comprehensive advisory on insurance and financial planning, covering areas such as retirement, education, and investments, supported by our extensive product suite.
• Financial Analysis: Presenting detailed financial summaries, investment reports, and income projections for clients.
• Client Relationship Management: Maintain and strengthen client relationships through regular reviews and adjustments to financial plans based on life changes.

Benefits & Rewards:

• 24-months Trainee Program: Provides monthly allowance + commission, supporting you in the first 24 months of your career.
• Extensive Training and Support Structure: Regular workshops, training & sharing sessions within the agency and individual mentorship ensuring support along the way.
• Flexi-Hybrid Work Setting: Enjoy a hybrid work setting with flexible work arrangements.
• Attractive Rewards: We believe in 'work hard, play hard', with incentives for top performers & fun team-bonding events.
• Market-leading Remuneration Structure: Market-leading remuneration package along with an attractive incentive system, including commissions, performance incentives, and up to 3 incentive trips a year.

Qualifications:

• Singaporean / Singapore PR preferred
• Minimum 21 years old with Polytechnic Diploma, GCE 'A' level Certification or Bachelor Degree in any field, as per MAS requirements.
• Highly motivated with strong interpersonal skills

Apply now to find out more!

Job Duties:

• Work with a diverse range of partners and stakeholders to customise, administer and organize the continuing professional development programmes for our members through various platforms of learning.
• Undertake curriculum and content development with a practice-oriented focus.
• Engage members and stakeholders for feedback on proposed new training contents and to promote Learning & Professional Development (LPD) offerings.
• Explore and leverage technology solutions for legal training, such as e-learning platforms and virtual classrooms.
• Assist in gathering feedback from participants and trainers to evaluate LPD training programmes effectiveness and propose suggestions on improvements to the curriculum and training format.
• Assist in compiling data and generate regular updates and reports for senior management on the performance and impact of LPD programmes.
• Assist in budget management such as tracking expenses and preparing financial reports.

Job Requirements

• Prior experience in professional development training, project and event management or related fields preferred
• Mature, resilient and detail-oriented individual, with cheerful disposition who enjoys interacting with people
• Comfortable with managing complex and detailed administrative processes and numbers
• Excellent analytical and organizational skills
• Ability to multi-task within tight deadlines and work independently, resourceful and a good team player
• High proficiency in MS Office applications (MS Word, Excel, PowerPoint).

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

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 https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

About Locofy.ai

Locofy.ai is a fully remote (Singapore HQ) startup, building a low code development devtool platform to help accelerate developers & designers to launch their core web/mobile products 5-10x faster. Having raised $7.5M in seed funding from the likes of Northstar Ventures, Accel, January Capital, Golden-Gate Ventures, BoldCap and backed by founders of Dropbox, Ola, Lottiefiles, Hasura, Holistics, Wego, Paysense, GajiGesa, Ohmyhome, 1bstories, Cyber-Sierra, it launched its beta platform in January 2022.

We're young, but we've made some serious progress - our Product Hunt launch in July 2022 was really encouraging and our community feedback has been strong! We got #1 Product of the Day, Week and Month subsequently along with #1 Developer Tool and #1 Design Tool of the Day, Week and Month, and it's been a crazy ride ever since!After running Locofy.ai in free public beta for 3.5 years, Locofy.ai recently came out of beta with paid plans in September 2024 and very rapidly sold 1000+ subscriptions with 20 Enterprises in 2 weeks.

The founders have held CxO roles in Product & Technology at some of Asia’s top startups covering Gaming, Travel, Fintech, Healthtech and SaaS, and won multiple awards for their products globally. After years building these products, they’re now determined to build a devtools SaaS platform from South-East Asia to improve the lives of product & engineering teams globally!At the heart of everything, Locofy's mission is to build for builders i.e. developers, designers & product managers.

As builders ourselves, we want to allow anyone with any idea to be able to build world-class products with lean teams, by empowering their teams with digital steroids to move faster!We recently launched our foundational large design models (built in house) and are looking to expand them with a Senior ML Engineer who is passionate about this problem. More details : https://static.locofy.ai/Locofy.ai%20Large%20Design%20Models%20Whitepaper.pdf

Reports To

Head of AI (but work closely with both founders & founding employees)

Job Location

While the core team is based in Singapore/Vietnam, we’re remote first, and where you’re based does not matter eventually! What matters is trust & accountability and the will to build a world class product.

Position Overview

Locofy.ai is seeking a Senior Machine Learning Engineer with over 5 years of experience deploying scalable AI solutions. In this leadership role, you will lead the development of AI models, focusing on the core features of Locofy's innovative Large Design Model (LDM) – a state-of-the-art model designed to convert designs into code seamlessly.

The ideal candidate should have a strong background in AI and web development, demonstrated leadership skills, and a proven track record of scaling AI models. You should also be proficient in HTML/CSS/JavaScript or TypeScript, with experience in at least one front-end framework (React/Angular)

Responsibilities:

• Lead the Development of Scalable AI Solutions: Be the driving force behind the development of scalable AI solutions. Architect and construct foundational AI models
• Develop Advanced Algorithms for UI Pattern Detection: Work on cutting-edge models that detect UI patterns and understand their underlying semantic meaning. You'll develop algorithms that recognize and interpret design components, identifying their purpose and relationship within a user interface. This includes refining model training processes to ensure robust, scalable solutions, resulting in enhanced performance of Locofy’s Large Design Models.
• Establish and Oversee Data Quality and Annotation Frameworks: Define, implement, and oversee data annotation, cleaning, and validation pipelines to ensure high-quality and accurate datasets for training machine learning models, improving model performance and reliability across product features.

Technical Skills:

• Proven experience with foundational AI models
• Expertise in computer vision models and familiarity with prompt engineering and LLMs.
• Proficiency in HTML/CSS/JavaScript or TypeScript, with expertise in at least one front-end framework (React/Angular).
• Strong understanding of Web development first principles, familiarity with design tools like Figma and Penpot
• Experience in deploying scalable AI/ML models

Soft Skills:

• We offer the opportunity to work in a fast-paced, innovative startup environment. We value continuous learning and self-improvement, and we're looking for individuals who share our passion.
• Strong leadership and communication skills with a proven ability to collaborate with cross-functional teams.
• We value critical thinking and problem-solving. We're looking for someone who can translate complex project requirements into technical solutions.

Join Locofy.ai to work on innovative AI solutions that shape the future of design and web development, apply now!

Flexi Work Arrangements, Essential Financial Knowledge, Attractive Remuneration

We believe in providing a holistic approach in service to our clients, ensuring their needs are met and satisfied in our care. And we believe that it starts with us!

Join our team as a Financial Advisor and enjoy a flexible work setting, comprehensive training, support structure, together with market leading remuneration. This role is ideal for both fresh graduates and those seeking a mid-career switch. Connect with us and embark on a rewarding career in financial advisory

A Day in The Life of a Financial Advisor:

• Client Networking: Establish and grow a robust client base through effective networking and prospecting strategies.
• Financial Strategy Development: Analyze clients' financial situations and goals to create tailored financial strategies.
• Insurance and Financial Advisory: Provide comprehensive advisory on insurance and financial planning, covering areas such as retirement, education, and investments, supported by our extensive product suite.
• Financial Analysis: Presenting detailed financial summaries, investment reports, and income projections for clients.
• Client Relationship Management: Maintain and strengthen client relationships through regular reviews and adjustments to financial plans based on life changes.

Benefits & Rewards:

• 24-months Trainee Program: Provides monthly allowance + commission, supporting you in the first 24 months of your career.
• Extensive Training and Support Structure: Regular workshops, training & sharing sessions within the agency and individual mentorship ensuring support along the way.
• Flexi-Hybrid Work Setting: Enjoy a hybrid work setting with flexible work arrangements.
• Attractive Rewards: We believe in 'work hard, play hard', with incentives for top performers & fun team-bonding events.
• Market-leading Remuneration Structure: Market-leading remuneration package along with an attractive incentive system, including commissions, performance incentives, and up to 3 incentive trips a year.

Qualifications:

• Singaporean / Singapore PR preferred
• Minimum 21 years old with Polytechnic Diploma, GCE 'A' level Certification or Bachelor Degree in any field, as per MAS requirements.
• Highly motivated with strong interpersonal skills

Apply now to find out more!

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

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

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. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Serving and training infra optimization of machine learning models

- Build and maintain high performance online services for TikTok recommendation system

- Build globalized large-scale recommendation system

- Research, design, and develop computer and network software or specialised utility programs

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements

Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields, with experience building scalable systems.

- Experience at least one or two programming languages in Linux environment such as C/C++/golang;

- Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;

- Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;

- Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, MxNet);

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

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. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users. The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Serving and training infra optimization of machine learning models

- Build and maintain high performance online services for TikTok recommendation system

- Build globalized large-scale recommendation system

- Research, design, and develop computer and network software or specialised utility programs

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements

Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems.

- Experience at least one or two programming languages in Linux environment such as C/C++/golang;

- Understand GPU hardware architecture, understand GPU software stack (CUDA, cuDNN), and have experience in GPU performance analysis;

- Have experience in deep model inference/training, debugging, tuning, and familiar with model optimization tools such as TVM, MLIR, XLA;

- Familiar with mainstream machine learning frameworks (e.g., Tensorflow, Pytorch, MxNet);

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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 Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines.

Responsibilities

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

- Experience programming in at least one of the following languages: Python or C/C++

- Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.

- Experience in building solutions with AWS, Google, Azures, AliCloud or other cloud services.

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.

- Solid background of algorithms and data structures.

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.

Flexi Work Arrangements, Essential Financial Knowledge, Attractive Remuneration

We believe in providing a holistic approach in service to our clients, ensuring their needs are met and satisfied in our care. And we believe that it starts with us!

Join our team as a Financial Advisor and enjoy a flexible work setting, comprehensive training, support structure, together with market leading remuneration. This role is ideal for both fresh graduates and those seeking a mid-career switch. Connect with us and embark on a rewarding career in financial advisory

A Day in The Life of a Financial Advisor:

• Client Networking: Establish and grow a robust client base through effective networking and prospecting strategies.
• Financial Strategy Development: Analyze clients' financial situations and goals to create tailored financial strategies.
• Insurance and Financial Advisory: Provide comprehensive advisory on insurance and financial planning, covering areas such as retirement, education, and investments, supported by our extensive product suite.
• Financial Analysis: Presenting detailed financial summaries, investment reports, and income projections for clients.
• Client Relationship Management: Maintain and strengthen client relationships through regular reviews and adjustments to financial plans based on life changes.

Benefits & Rewards:

• 24-months Trainee Program: Provides monthly allowance + commission, supporting you in the first 24 months of your career.
• Extensive Training and Support Structure: Regular workshops, training & sharing sessions within the agency and individual mentorship ensuring support along the way.
• Flexi-Hybrid Work Setting: Enjoy a hybrid work setting with flexible work arrangements.
• Attractive Rewards: We believe in 'work hard, play hard', with incentives for top performers & fun team-bonding events.
• Market-leading Remuneration Structure: Market-leading remuneration package along with an attractive incentive system, including commissions, performance incentives, and up to 3 incentive trips a year.

Qualifications:

• Singaporean / Singapore PR preferred
• Minimum 21 years old with Polytechnic Diploma, GCE 'A' level Certification or Bachelor Degree in any field, as per MAS requirements.
• Highly motivated with strong interpersonal skills

Apply now to find out more!

Our client is a nonprofit organization in Woodlands, where they strive to make a meaningful impact in our community.

• Responsible for the planning and preparation of thought provoking, challenging educational and fun activities for children.
• Deliver children with a safe, secure, inclusive and nurturing environment.

Requirements:

• Diploma in Early Childhood Care
• At least 2 years of preschool setting experience.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

First Konnection, Singapore's trusted education recruitment agency, partners with top childcare centers to connect talent with rewarding career opportunities.

We are proud to work with a leading MapleBear center, recognized for its nurturing environment, providing air-conditioned facilities for the comfort and well-being of infants.

What We Offer:

• Effortless Application Process: We handle all logistics while you focus on your career.
• Direct Communication: Clear updates and guidance throughout the application process.
• Career Support: Get personalized advice on how to present your strengths and secure the role.

Your Role as an Infant Care Teacher:

• Caring for Infants: Provide compassionate care and support their growth and development.
• Learning Through Play: Engage infants with age-appropriate, fun, and interactive activities.
• Safe & Stimulating Environment: Ensure a safe, clean, and nurturing space.
• Parental Communication: Keep parents informed on their child’s daily activities and progress.
• Team Collaboration: Work closely with your colleagues to create a positive and supportive environment.

Requirements:
To comply with local regulations, you must possess one of the following qualifications:

• Advanced Certificate in Early Years (ACEY)
• Higher Certificate in Infant Care (HCIC)

Why Join Us?

• Innovative Learning: Be part of a center that values play-based learning and creativity.
• Career Development: Access professional growth opportunities in a supportive team environment.

Apply Today and Make a Positive Impact on the Next Generation!
EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

• Company Benefits & Incentives
• Career Progression Opportunities
• Attractive Salary Package
• Working Location: Island wide - Arrange Close to Your Home
• Working days: 5 days
• AOP & Private Premium Singapore Childcare & Preschool Centers

Job Requirements:

• Infant Care Teacher - Min. ACEY (EY2) / HCIC (EY1) / CIT with EYDF completed
• Assistant Infant Care Teacher - Ongoing ACEY / HCIC course or relevant experience

Job Scope:

• Monitoring learning progress of students
• Building good rapport with parents, staff and students
• Provide a safe and secure environment for children to feel comfortable
• Guide, motivate and monitor Assistant Teacher/Classroom helpers in carrying out their tasks
• Follow assigned work shift patterns of the center

1. Infant Care Teacher $2,600-$3,500

• Monitoring learning progress of students
• Building good rapport with parents, staff and students
• Provide a safe and secure environment for children to feel comfortable
• Guide, motivate and monitor Assistant Teacher/Classroom helpers in carrying out their tasks

2. Assistant Infant Care Teacher $2,000-$2,500

• To supporting the main Infant Care teachers. NOT required to take on teaching responsibilities
• To provide routine care for the of infants from 2 months - 18 months old
• Create a classroom environment that is safe, joyful and conducive for Infant’s development
• Attend to the health, hygiene and safety needs of the infants

Interested candidate may contact me and send your resume via WhatsApp or Email:
https://wa.me/6589458859 (Jean) | [email protected]

PLEASE INCLUDE [notice period, last drawn salary and expected salary] in your resume.

PS: No Charges will be incurred by Candidates for any service rendered.

Tan Tze Ying (Jean) | Reg No. R24121620
The Supreme HR Advisory Pte Ltd | EA No. 14C7279

• Company Benefits & Incentives
• Career Progression Opportunities
• Attractive Salary Package: Sign On Bonus + AWS + Performance Bonus + Transport Allowance
• Working Day: 5-day work week (44 hour)
• Work Location: Multiple Locations Island wide (arrange near to your place)

Job Requirement:

• Diploma/Degree in Early Childhood Care & Education
• L1 / L2 certified

Job Responsibilities :

• Plan and deliver Chinese language composition writing and Chinese language lessons in accordance with the Company's guidelines and framework to achieve desired learning outcomes.
• Mark students' scripts in accordance with the Company's guidelines and rubrics
• Ensure marked scripts are returned in a timely manner.
• Maintain accurate records of students' progress and cater to students' educational needs in a timely manner.
• Be actively involved in the planning and preparation of curriculum and innovation of teaching methodology.
• To provide timely feedback to parents and address their concerns appropriately.

Interested candidate may contact me and send your resume via WhatsApp or Email:
https://wa.me/6589458859 (Jean) | [email protected]

PLEASE INCLUDE [notice period, last drawn salary and expected salary] in your resume.

PS: No Charges will be incurred by Candidates for any service rendered.

Tan Tze Ying (Jean) | Reg No. R24121620
The Supreme HR Advisory Pte Ltd | EA No. 14C7279

• Company Benefits & Incentives
• Career Progression Opportunities
• Attractive Salary Package
• Working Location: Island wide - Arrange Close to Your Home
• Working days: 5 days

Job Requirements:

• Diploma/ Fundamental Certificate in Early Childhood Care and Education (DECCE / FECCE) OR;
• Relevant Experience

Job Scope:

• Ensure the safety of children at all times
• Responsible for planning and implementing programs for young children
• Engage children with activities to enhance their learning experience
• Observe, assess and document children's performance, behavior, social development, and physical health

Interested candidate may contact me and send your resume via WhatsApp or Email:
https://wa.me/6589458859 (Jean) | [email protected]

PLEASE INCLUDE [notice period, last drawn salary and expected salary] in your resume.

PS: No Charges will be incurred by Candidates for any service rendered.

Tan Tze Ying (Jean) | Reg No. R24121620
The Supreme HR Advisory Pte Ltd | EA No. 14C7279

• Company Benefits & Incentives
• Career Progression Opportunities
• Attractive Salary Package
• Working Hours: 5 Days
• Work Location - Islandwide (Choose A Centre Near You)

Requirements:

• Diploma in Early Childhood Care & Education (DECCE)
• Advanced Diploma in Kindergarten Education – Teaching (ADKET)
• Childcare Teacher - L1 / L2 (LON - EDCA)
• Infant Care Teacher - EY1 / EY2 / ACEY / HCIC / CIT / EYDF
• Assistant Teacher - FECCE or Relevant Experience

Job Descriptions:

• Responsible for planning and implementing programs for young children
• Hold regular parent-teacher meetings to address children’s progress, issues, concerns, or parent complaints (if any)
• Observe, assess and document children's performance, behavior, social development, and physical health
• Identify behavioral problems and develop appropriate strategies to address them
• Use various learning methods such as stories, games and drawings to intellectually stimulate children and their learning experiences
• Attend staff meetings, conferences, and workshops

Interested candidate may contact me and send your resume via Email:
[email protected]

PLEASE INCLUDE [notice period, last drawn salary and expected salary] in your resume.

PS: No Charges will be incurred by Candidates for any service rendered.

Tan Tze Ying (Jean) | Reg No. R24121620
The Supreme HR Advisory Pte Ltd | EA No. 14C7279

Shape young minds in a vibrant, nurturing environment!
Join our passionate team dedicated to holistic growth and innovative learning, located conveniently in Holland Village.

First Konnection – The Authorized Education Recruitment Specialist for this Role

What You Can Expect:

• Streamlined Process: Let us handle the logistics while you focus on showcasing your expertise.
• Direct Communication: Receive timely updates and clear guidance throughout the application process.
• Personalized Advice: Leverage our insights to present your strengths and secure the role.

Key Responsibilities:

• Deliver engaging lessons, helping students grasp key concepts and complete their daily homework and spelling tasks.
• Supervise and care for primary school children (Primary 1 to 6), ensuring their safety and well-being from school to the student center.
• Communicate regularly with parents and caregivers about students’ behavior and learning progress.
• Maintain the cleanliness and hygiene of the center, ensuring a safe environment for all.
• Assist with ad-hoc duties as delegated by the Centre Head.

Requirements:

• Strong ability to guide all 4 primary school subjects: Chinese, English, Math, and Science. Proficiency in Mandarin is required to guide students in the Chinese language subject.
• A demonstrated work ethic, integrity, and a positive attitude.
• A genuine passion for working with children and supporting their growth.
• Previous experience teaching children, especially at the primary level, is preferred.

If you have the passion and commitment to excel in this role, we would love to hear from you.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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

Site Reliability Engineering (SRE) of Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world.

On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.

SRE ensures that the very centric machine learning services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines.

Responsibilities

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent with 3+ years of relevant experience

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

- Experience programming in at least one of the following languages: Python or C/C++.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.

- Solid background of algorithms and data structures.

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.

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

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 Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training scheduling, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommended advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

What you'll do

- Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, and model deployment.

- Build efficient, scalable data processing and computing processes to ensure platform stability and performance.

- Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.

- Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.

- Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.

- Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

Qualifications

Minimum Qualifications

- Bachelor's or above degree in computer science, software engineering, or a related field with 1+ years of relevant experience

- Possess solid software engineering skills and be proficient in developing using common programming languages (such as Python, Java, or C++).

- In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).

- Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.

- Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges. Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems.

Preferred Qualifications

- A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.

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.