Total 6,918 Education / Training job vacancies in d21 upper bukit timah clementi park ulu pandan

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and instrumental simulation of the process.

Main responsibilities:

• To conduct independent lab-based research on instrumental design and construction
• To design experimental devices and set ups needed for the project
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications

Job Requirements:

• PhD degree in physics, material science, mechanical engineering, or other relevant disciplines of physical science and engineering
• Previous experience in instrument design greatly beneficial
• Knowledge and research experience in food sensory, food flavour, food physics are ideal, but not essential
• An excellent track record of research publications
• The candidate should also have excellent communication skills and is expected to establish collaborations with researchers from other scientific disciplines.

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.

Understanding the pharmaco/nutrico/toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The following tasks are expected of the candidate:

• Literature search to extract relevant ADME data for chemicals of interest
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts
• Supervise and train students and interns

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

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.

The Sensory Science and Oral Processing Research Platform at SIFBI seeks to appoint a postdoctoral research scientist to work on the mechanisms of oral-nasal mass transfer and retronasal sensation.

Main responsibilities:

• To conduct independent lab-based research
• To design experimental tasks and conduct independent research on mass transfer and retronasal sensation according to the project plan.
• To initiate and lead collaborations with researchers within and outside the institute
• To supervise junior researchers on project-based works
• To effectively disseminate research findings either via conference presentations or writing up research publications.

Job Requirements:

• PhD degree in food science, food sensory, food flavour, sensory analysis, oral physiology, or other relevant disciplines.
• Knowledge on sensory receptors, sensory physiology is advantageous.
• An excellent track record of research publications.
• The candidate should also have excellent communication skills and is capable of working together with researchers from other scientific disciplines.

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.

Position title: Admin Assistant

Location: Pioneer MRT

Working days: 5.5 days (8.30am – 5pm) , (8.30am – 12pm)

Salary : SGD $2,400 - $2,600

Job Description:

• Issue invoice

• Admin duties

• DO

• Answering calls, replying emails etc.

• Training provided

• Basic computer knowledge, eg. Word, Exel etc.

☘The Supreme HR Advisory Pte Ltd EA No: 14c7279

☘SAMUEL SIAW Reg No: R24124745

• 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

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. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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

The TikTok E-commerce Recommendation and Marketing Algorithm team is responsible for algorithm and big data work on e-commerce innovation projects. Leveraging on our products, the team helps users discover and acquire great products, enriching their lives. In this team, we not only use recommendation and search algorithms to help users find items they are interested in but also employ risk control algorithms and intelligent platform governance algorithms to detect violations, ensuring a secure shopping experience. We build intelligent customer service technologies and large-scale product knowledge graphs to improve the efficiency of various transaction processes. Furthermore, we develop logistics and operations research algorithms to enhance supply chain efficiency, and we apply artificial intelligence to help merchants improve their operational capabilities. Our mission: To make high-quality products easily accessible, enabling everyone to enjoy a better life.

Responsibilities

- Participate in optimizing TikTok e-commerce growth and marketing algorithms, including core capabilities such as user value modelling, personalized messaging, recommendations, and intelligent marketing.

- Establish a user lifecycle data and value system to address core pain points and business challenges related to TikTok Mall user growth.

- Contribute to the implementation of product and technical solutions for user growth engines, such as personalized push notifications/emails, recommendation handling, etc., to increase e-commerce DAU and penetration rates.

- Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.

- Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.

Qualifications

Minimum Qualifications

- Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics or related technical discipline.

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

- Strong foundation in algorithms and data structures, with excellent coding skills.

- Strong learning ability, curiosity, and good communication and teamwork skills.

- At least 3 years of relevant experience in user growth or intelligent marketing.

Preferred Qualifications

- Candidates who have published papers in top AI conferences/journals or achieved notable results in ACM/Machine Learning competitions

- Experience in recommendation systems, advertising, user growth, intelligent marketing, or related fields, with expertise in LTV estimation, uplift modelling, operations research, sequence modelling, or multi-scenario modelling optimization is a plus.

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 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. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce.

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 TikTok.

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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.

- Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.

- Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

- Design and build supporting/debugging tools as needed.

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications

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

- Strong programming and problem-solving ability.

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.

- Experience in Deep Learning Tools such as tensorflow/pytorch.

- Experience with at least one programming language like C++/Python or equivalent.

Preferred Qualifications

- Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.

- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

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

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!

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

A Programme Manager position is open at the Singapore Hybrid-Integrated Next-Generation μ-Electronics (SHINE) Centre of Professor Aaron Thean and within the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The candidate will have a leading role in managing the related research projects, reviewing, and monitoring the execution, leading all aspects of the communication with the involved industrial parties.
The candidate will also have responsibilities in the following areas:
1. Coordinate the setup of the Centre in close collaboration with its Directors and PIs.
2. The Programme Manager is expected to play a leadership role in ensuring a tightly integrated programme where appropriate research activities are clearly collaborative; and to monitor, supervise, and manage the various principal investigators and receive reports on their research projects and specifically to review the progress of the various research activities for their deliverables along pre-determined timelines and make necessary changes, when appropriate, to the programme to achieve the stated goals.
3. Monitor and report on usage of the grant, review, and report expenditure where appropriate.
4. Expected to assist and interact with all partners on reports such as mid-term review reports, annual programme reports, final programme report etc.,
5. Assist on scientific or technical review and shall provide an overall presentation at such reviews.
6. Managing the timeline and deliverables through the programme operations.
7. Interact with the technical teams and industry partners on visits regularly to engage with their home teams to ensure technology relevance.
8. Maintain fixed asset inventory and enforce high standard of document control and record keeping.

Prior experience with project management roles, exposure to different work environments, and a background on Electrical or Computer Engineering are highly valued.

Qualifications

1. Preferably a PhD degree from a reputable university, ideally in Electrical Engineering or related (e.g., Computer, Communication, or Information Engineering).
2. Knowledge and experience in managing projects and/or research programmes is highly valued, along with experience in different roles and functions.
3. Good interpersonal, communication and leadership skills are required along with good written and oral communication skills.
4. The candidate needs to have high tolerance for ambiguity and ability to work on multiple sub-projects simultaneously, ability to prepare/disclose/handle information of a confidential nature, as well as to work in a team and positive “can-do” attitude, as documented by prior work experience and reference letters.
5. Open to Fixed Term Contract.

We are seeking a highly motivated Postdoctoral Researcher to join our dynamic research team in EPD. The successful candidate will contribute to ongoing projects related to Sodium sulfur battery project. This position offers an excellent opportunity to conduct cutting-edge research and collaborate with interdisciplinary teams.

The researcher needs to:

• Conduct independent and collaborative research on sodium sulfur batteries.
• Design and execute experiments, analyze data, and interpret results.
• Develop and optimize methodologies for battery testing.
• Prepare manuscripts for publication in peer-reviewed journals and present findings at conferences.
• Mentor graduate and undergraduate students, providing guidance on research projects.
• Contribute to grant writing and funding proposals.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Senior Research Fellow position. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronaviruses. Our research helps to understand the molecular drivers of virus evolution and population dynamics, and their influence on virulence and pathogenicity.

The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment. The candidate should possess a strong background in molecular virology and/or immunology, and will utilize metagenomics sequencing and virologic techniques to understand the evolutionary dynamics of different RNA viruses. The candidate will be involved in developing antiviral antibody therapies in the prevention and treatment of virus disease.

The candidate is expected to perform a variety of research under the Principal Investigator’s supervision or his/her designate. The main duties and responsibilities will include but are not limited to the following: -

• Conduct and design experiments for rapid molecular diagnosis and efficient genomic sequencing
• Perform bioinformatics and phylogenetic analyses
• Develop and test novel antiviral preventive or therapeutics against virus infections.
• Conduct in vitro and in vivo experiments to study virulence and pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology, Molecular Biology, Immunology or other related disciplines.
• Have a strong background in molecular virology, particularly on RNA viruses.
• Possess strong laboratory skills and experience in animal research.
• Prior experience with antibody techniques is preferred.
• Possess excellent analytical, organisational, and communication skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

About Bytedance

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 mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. We also drive substantial impact for core businesses of the company. Currently we are looking for Software Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.

Responsibilities

- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.

- Responsible for improving use-ability and flexibility of the machine learning infrastructure.

- Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems

- Responsible for designing and developing key components of ML infrastructure and mentoring interns

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- Proficient in C/C++/Python, and have solid programming skills.

- Familiar with deep learning frameworks (TensorFlow/Pytorch).

- Experience in developing and deploying large-scale systems.

- Ability to work independently and complete projects from beginning to end and in a timely manner.

- Good communication and teamwork skills to clearly communicate technical concepts with other teammates.

- Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).

- 3+ years of industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications:

- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).

- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.

- Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.

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 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

The e-commerce alliance team aims to serve merchants and creators on the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

Responsibilities

- Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency

- Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform

- Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading

- Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote ecological development

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Bachelor's or Master's or PhD degree in Computer Science or related fields.

- Experience in C++ and Python. Proficiency in at least one Big Data tool (e.g., Hive SQL, Spark, MapReduce) and at least one Deep Learning tool (e.g., TensorFlow, PyTorch).

- Applied machine learning experience, familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, etc.

- Industry experience in personalized recommendation, online advertising, information retrieval, or related fields.

Preferred Qualifications:

- Excellent learning ability and good communication and cooperative spirit.

- Passionate about techniques and solving challenging problems.

- Publications at KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI, RecSys, and related conferences.

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

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- 3+ years of working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

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.

The German European School Singapore (GESS) is looking for experienced High School English Language and Literature / TOK Teacher, commencing 1 August 2025.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual.

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• Tertiary educational background
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and/or IB Diploma Programme
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centered learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development through the application of restorative practices.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

Key Duties and Responsibilities

• Assist in developing new products
• Conduct client and competitor analysis, market research and benchmarking
• Plan a strategic R&D programme for short, mid and long terms by understanding and analyzing the existing and future financial, market trends
• Prepare proposal and participate in product, service and system development

Requirements:

• Degree or Diploma from reputable educational institutions
• Strong IT literacy, proficient in using Microsoft Office (Word, Excel and Power Point)
• Strong presentation and problem-solving skills
• Good oral and written communication skills and the ability to communicate effectively with peers, management and clients
• Attention to detail and a commitment to producing high quality work under pressure

Position: Operation Clerk

• Salary range: $2,300.00 to $2,700.00
• Location: Changi
• Working Hours: Mon to Fri (9am－5.30pm) | Sat 9am to 1.30pm

Job scope:

• Air / Sea Permit & GST declaration
• Submission to CCN
• Booking & Preparation of AWB
• Handling Air / Sea documentation
• Preparation on Job Sheet & Billing
• Other adhoc duties as required
• Training Provided

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Position: Fitness Trainer

• 5.5 days | 11am – 8pm (1 to 2 hours break) | Willing to work on weekend
• Basic Salary : From $1,800 + Commission | Gross up to 3000 +
• Address : Suntec or Tai Seng

Requirement

• Preferred qualified Personal Trainer or possess extensive Muay Thai experience.
• Training provided

Responsibilities

• Deliver engaging, high-energy group fitness classes that challenge and inspire participants of all levels
• Provide personalized attention and guidance to members, ensuring they perform exercises safely and effectively
• Stay up-to-date with the latest fitness trends, techniques, and industry best practices
• Motivate and encourage members to push their limits and reach new milestones
• Maintain a positive, supportive, and inclusive environment in the studio
• Collaborate with the wellness team to develop innovative programming and events
• Actively participate in the growth and development of the fitness community

Chin Wai Loon Reg No: R24121618

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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 team works on large-scale recommendation systems for various offerings under TikTok and its affiliates, focusing on developing recommendation algorithms/models/strategies. We are committed to developing cutting-edge solutions for e-commerce recommendation systems.

Responsibilities

- Work on recommendation systems, involving contents of various forms ranging from products, short videos to live streams, with each unified recommendation model fulfilling heterogeneous E-commerce scenarios/goals across multiple countries.

- Optimize e-commerce recommendation models at massive scales, using deep learning/transfer learning/multi-task learning techniques.

- Data mining and analysis to improve the quality of recommended contents.

- Conduct research on various topics, which aim to optimize content recommendation circulation, ranging from ensuring diversity and new discovery in recommendation contents, to cold-start problem for new users/items and discovery of high-quality products/live streamers.

- Develop innovative and state-of-the-art e-commerce models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Requirements

- Bachelor's degree or higher in Computer Science or related fields with at least 5 years of relevant hands-on experience and 2+ years of team management experience.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience in working with main components of recommendation systems(recall, sort, reranking, cold-start problem), with good understanding of mainstream recommendation models used in the industry

- Experience in C++ and Python; at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch)

- Leading a team of at least 5 Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment

Preferred Qualifications

- Experience in personalized recommendation, online advertising, information retrieval or related fields.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys and related conferences

- Excellent performance in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions

- Developed widely-recognized machine learning project(s) on github or personal webpage

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.

• 5 Days|8 hour Rotating Shift
• Weekday：7am to 3pm or 130pm to 930pm
• Weekend / PH: 715am to 315pm or 1015am to 615pm
• Salary: Basic $3,000 - $4,000
• Address: Clarke Quay

Requirements:

• 1-2 years of experience teaching Pilates Reformer classes
• Possess Pilates Reformer certification
• CPR and First Aid certification would be a bonus

Responsibilities:

• Lead engaging Pilates Reformer group classes and private sessions
• Provide personalized instruction and modifications to ensure safe and effective workouts
• Educate clients on the benefits of Pilates and proper technique
• Maintain a positive, motivating, and supportive environment for all participants
• Stay up to date on the latest Pilates methods, trends, and industry best practices
• Assist with equipment maintenance and studio organization
• Assist with covering Receptionist's role with admin duties

If you are interested to apply, kindly WhatsApp me your updated resume in DOC file and allow our Consultant to match you with our Clients.

Whatsapp: +65 8525 2419

Email: [email protected]

Tan Man Ee Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Job Details:

• Office Location: Clarke Quay area (Mostly Islandwide due to field visit)
• Working Days: 5 days work per week Monday – Sunday (Based on duty roster). Up to 44 hours per week

Responsibilities:

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data with HR Professionals / Managers
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:

• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Willing and able to persuade respondents to participate in surveys
• Able to work in high pressure, stressful situations
• Selected candidates are required to complete the training course and passed the tests based on the given criteria

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

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

The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

-Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.

-Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.

-Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.

-Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.

-Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

-B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

-Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.

-Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.

-Minimum 5 years relevant work experience from a large-scale internet business.

Preferred Qualifications:

-Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.

-Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

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.

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

BytePlus Recommend helps our user to build a delightful discovery experience. BytePlus Recommend aims to provide this service to our users as a flexible and efficient tool to incorporate into their business. Through our services, users will be able to build better user experiences and grow their business further. It enhances every step of the user journey with personalized recommendations. The team provides rich personalized experiences using the latest innovations in machine learning to achieve higher retention, engagement, and revenue, explore flexible recommendation models that cater to our users' specific scenarios and goals, and explore all the need to get users started in an easy-to-use platform.

Responsibilities

- Build industry leading recommendation system for customers.

- Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies.

- Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios.

- Work with cross functional teams to grow Enterprise Partnership & Solutions business.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

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

- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;

- Solid programming skills, good programming styles and working habits

- Able to solve problems independently, good teamwork and communication skills;

- Passion for technologies and solving challenging problems.

Preferred qualifications

- Experience in large-scale recommendation systems

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

BytePlus Recommend helps our user to build a delightful discovery experience. BytePlus Recommend aims to provide this service to our users as a flexible and efficient tool to incorporate into their business. Through our services, users will be able to build better user experiences and grow their business further. It enhances every step of the user journey with personalized recommendations. The team provides rich personalized experiences using the latest innovations in machine learning to achieve higher retention, engagement, and revenue, explore flexible recommendation models that cater to our users' specific scenarios and goals, and explore all the need to get users started in an easy-to-use platform.

Responsibilities

- Build industry leading recommendation system for customers.

- Understand machine learning techniques and business objectives, end-to-end own recommendation system and responsible for performance, improve recommendation models and strategies.

- Conduct cutting-edge research in machine learning algorithms, and apply the technology to different business scenarios.

- Work with cross functional teams to grow Enterprise Partnership & Solutions business.

- Support the production of scalable and optimised AI/machine learning (ML) models.

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Bachelor's degree or above majoring in Computer Science, or related fields

- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;

- Solid programming skills, good programming styles and working habits

- Able to solve problems independently, good teamwork and communication skills;

- Passion for technologies and solving challenging problems.

Preferred qualifications

- Experience in large-scale recommendation systems

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.

• 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