Total 376 technical engineer job vacancies in Maintenance / Repair category

Responsibilities:

• Operate, monitor, and maintain Clean/Black Utilities andHVAC systems via BMS/EMS, ensuring compliance in GMP and non-GMP environments.
• Perform daily inspections, log system data, troubleshoot issues, and escalateabnormalities to minimize downtime.
• Support commissioning, projects, SOP/URS documentation, and coordinate withinternal teams and external vendors.

Requirements:

• Minimum Diploma
• Boiler certification Level 1/2
• Able to work in cleanroom environment

Kindly email your resume in a comprehensive Word formatto jacqueline.goh@talentvue.com.sg

We regret to inform that only shortlisted candidates willbe notified.

Please be informed that by applying for the advertised position, the candidate is considered to have given their consent for us tocollect, utilize, or disclose their personal information for the purposesrelated to the services we provide.

Jacqueline Goh

EA License Number: 22C1430

Registration Number: R1326664

Overview

Element has an opportunity for an Instrumentation Engineer to join our rapidly expanding team. In this role, you will perform a variety of routine and non-routine testing assignments within the department assigned and insures timely and accurate test results under minimal direct supervision.

This role is based in Kaki Bukit, Singapore.

Responsibilities

• Provide technical and engineering leadership, and supports the development of new technologies within a local laboratory
  
• Be accountable for accurate and timely release of testing data to customers including sign-offs of quality control data as acceptable
  
• Be expected to obtain guidance in non-routine situation testing movement, vibration, real time reading
  
• Have the ability to oversee standard and/or routine technical problem solving activities
  
• Interact with customers on technical issues and questions
  
• Provide Input and support on business development opportunities with new or existing customers
  
• Be confident in making both formal and informal presentations on conventional and/or routine testing to a wide range of stakeholders
  
• Assist in the professional development of novice technicians and engineers within the local laboratory
  
• Carry out crucial examination and implementation of testing concepts and data
  
• Utilize an assortment of skill, methods, procedures and materials in advanced testing analysis
  
• Be adept at drawing on internal knowledge as well as industry and/or academic resources in reaching testing conclusion
  

Skills / Qualifications

• Possess a Degree in Civil / Mechanical / Electrical / Geotechnical Engineering with at least 3 years of working experience
  
• Working knowledge of site safety
  
• Possess a high level of expertise related to scope, core theories, concepts, terminologies and boundaries of chosen engineering discipline - Water, ground and environment
  
• Possesses a demonstrated ability to apply academic knowledge within the context of Element’s business
  
• In-depth understanding of testing concepts
  
• Can analyze and compiles testing data from the tests performed
  
• Possess strong computer skills
  

#LI-CL1

Company Overview

Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.

When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.

While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development.

Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization.

• Oversee the maintenance of building structures, both inside and outside.
• Carry out repairs and upkeep of fixtures, fittings, and other building components.
• Coordinate with vendors for inspection, servicing, and certification of lifts, cranes, and related equipment.
• Manage and supervise contractors to ensure timely and quality work.
• Ensure proper care and general maintenance of the premises and surrounding areas.

Requirements:

• Diploma in Mechanical or Electrical Engineering.
• At least 3 years of experience in facilities/building maintenance.
• Practical, hands-on skills in building repair and maintenance work.
• Basic understanding of both mechanical and electrical systems.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

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

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- 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

Minimum Qualifications

- Final year PhD graduates in Computer Science, engineering or quantitative field.

- 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.

- Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.

- Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.

- 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.

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 apac-earlycareers@tiktok.com

Role and Project Scope:

We are seeking a skilled and passionate ML Platform Engineer to join our team and build the next generation of our machine learning infrastructure. You will be responsible for designing, implementing, and maintaining the core MLOps platform that empowers our Data Science and ML Engineering teams to rapidly develop, deploy, and monitor high-performance models at scale.

Crucially, you will contribute to the evolution of our unified AI Platform, covering both traditional ML and our growing LLM (Large Language Model) platform.

What You’ll Do:

• Platform Development: Design, build, and maintain the end-to-end MLOps platform using Kubernetes and Cloud Services.
• Infrastructure as Code (IaC): Use Terraform or similar tools to manage, provision, and scale all ML-related infrastructure securely and efficiently.
• Pipeline Automation: Implement and optimize CI/CD/CT (Continuous Integration, Delivery, Training) pipelines to automate model training, testing, packaging, and deployment using tools like Argo and Kubeflow Pipelines.
• Serving Infrastructure: Build highly available, low-latency, and high-throughput model serving infrastructure.
• Observability: Implement robust monitoring, alerting, and logging solutions to track infrastructure health, model performance, and data/model drift.
• Tooling & Support: Evaluate, integrate, and support ML tools such as Feature Stores and distributed model training pipelines.
• Security & Compliance: Ensure platform security, implement RBAC (Role-Based Access Control), and manage secrets for sensitive data and production environments.
• Collaboration: Work closely with Data Scientists and ML Engineers to understand their needs and provide technical guidance on best practices for scaling their models.Spearhead the creation of AI solutions to enable growth and drive internal efficiency across the business.

What You Need to Have:

• 10+ years in backend software development, with at least 2+ years focus on AI/ML Platform or MLOps infrastructure.
• Deep expertise in MLOps practices, including automated deployment pipelines, model optimization, and production lifecycle management.
• Proven experience designing and implementing low-latency model serving solutions.
• Proficiency in Python.
• Skill in writing high-quality, maintainable code.
• Experience in design and development of large-scale distributed, high concurrency, low-latency inference, high availability systems.
• Excellent communication and mentoring abilities.
• A relevant degree in Computer Science, Mathematics or related fields.

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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

- Develop machine learning solutions for identifying and preventing various fraudulent activities.

- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.

- Build data pipeline to enable scalable and real-time risk prevention.

- Analyze / test the effectiveness of the built solutions.

- Work in a cross-functional team setting to mitigate business risks.

- Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications:

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

- Good coding skills in one or more programming language.

Preferred Qualifications:

- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch.

- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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.

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 apac-earlycareers@tiktok.com

About TikTok

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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

​

Diversity & Inclusion​

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.​

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

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 our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

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 PhD 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.

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 apac-earlycareers@tiktok.com

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico 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 ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.

About our Team

We are the supply chain and logistics algorithm team under Global E-commerce. We focus on technical optimization of the global logistics and fulfillment process. Through the in-depth integration and innovation of cutting-edge AI algorithms such as reinforcement learning and large models, combined with operations research optimization technologies, we drive logistics cost reduction, service efficiency improvement, and user experience enhancement. Our team is currently expanding rapidly with locations in Hangzhou, Shanghai, Singapore, and Seattle. We focus on the algorithm implementation and breakthroughs of the self-owned logistics system, deeply participate in the full-link intelligent optimization projects from warehouse distribution to last-mile delivery, and focus on tackling the implementation of core directions such as reinforcement learning in dynamic and real-time logistics scenario decision-making, and large models in complex supply chain deduction and intelligent interaction. We continue to empower the global e-commerce logistics business with cutting-edge algorithms.

Job Responsibilities

1. Responsible for the implementation of operations research and AI projects related to self-owned warehouses and quasi-self-owned warehouses, promote the algorithm research and development of in-depth cooperative innovation warehouses with service providers. Apply deep reinforcement learning to core in-warehouse links such as intelligent order batching, wave picking, and dynamic packaging optimization, complete the implementation and iteration of internal systems, and break through the efficiency bottleneck of traditional operations research optimization in complex dynamic scenarios.

2. Take charge of the algorithm construction for First-Mile/Last-Mile scenarios. Based on the reinforcement learning framework, make decisions on dynamic collection route planning, intelligent merchant onboard/offboard, and real-time regional division. Iterate the platform's intelligent order allocation algorithm and the GTL three-segment code prediction model at the delivery station level. Implement a LLM-driven intelligent labor scheduling optimization plan, which automatically generates scheduling strategies combining business rules and real-time capacity fluctuations to improve the efficiency of last-mile fulfillment.

3. Participate in global logistics backbone network planning projects, build the ability to simulate complex supply chain scenarios based on large language models, accurately assess the changes in timeliness, traffic and platform profits corresponding to changes in warehousing and distribution, deepen the implementation of large models in multi-scenario simulation and automatic parameter optimization in network planning scenarios, and optimize the decision-making efficiency and scientific nature of global logistics network layout.

4. Responsible for the research and development of intelligent scheduling algorithms in Middle-Mile scenarios. Lead the algorithm design and implementation of cross-regional logistics projects such as the US TPE(Transportation Planning and Execution) project. Apply reinforcement learning to dynamic route planning and capacity scheduling for trunk line transportation, and continuously optimize the cost and timeliness stability of trunk transportation.

5. Explore the implementation of AI innovation projects. In addition to building the ability to recognize images scanned in the warehouse, we will focus on promoting the application of multimodal large models in intelligent identification of missing parts upon receipt and automatic traceability of abnormal scenarios. This will solve the business pain points of low efficiency of manual sampling and many disputes over compensation for abnormalities, and reduce operational risks and costs.

6. Deeply explore the full-link data of logistics, extract the core directions for optimizing logistics operation models and improving service quality. Participate in product plan design, and collaborate with cross-functional teams such as product, operation, and business analysis to promote the productization of algorithms, continuously empowering the business.

Minimum Qualifications

1. Bachelor's degree or above, majoring in mathematics, statistics, computer science, industrial engineering, supply chain and logistics, operations research, or other related fields.

2. Have a solid foundation in data structure and algorithm design, and be proficient in at least one programming language such as Python, Java, C++, or R.

3. Proficient in deep learning, reinforcement learning (especially in sequence decision-making and multi-agent reinforcement learning), operations research optimization (integer programming, stochastic programming), and large models (LLM application fine-tuning, multimodal large models), with relevant algorithm implementation experience in the logistics or supply chain field preferred.

4. Have strong learning ability and curiosity, clear logic, good teamwork and communication skills, and proficient English writing and communication skills.

Preferred Qualification

1. Priority will be given to candidates who have published papers or achieved project results in top computer science conferences (such as NeurIPS, ICML, ICLR, KDD, AAAI, IJCAI) or top operations research journals (such as OR, MS, MP, M&SOM, POMS, TS, TRB).

Role and Project Scope:

We are seeking a skilled and passionate ML Platform Engineer to join our team and build the next generation of our machine learning infrastructure. You will be responsible for designing, implementing, and maintaining the core MLOps platform that empowers our Data Science and ML Engineering teams to rapidly develop, deploy, and monitor high-performance models at scale.

Crucially, you will contribute to the evolution of our unified AI Platform, covering both traditional ML and our growing LLM (Large Language Model) platform.

What You’ll Do:

• Platform Development: Design, build, and maintain the end-to-end MLOps platform using Kubernetes and Cloud Services.
• Infrastructure as Code (IaC): Use Terraform or similar tools to manage, provision, and scale all ML-related infrastructure securely and efficiently.
• Pipeline Automation: Implement and optimize CI/CD/CT (Continuous Integration, Delivery, Training) pipelines to automate model training, testing, packaging, and deployment using tools like Argo and Kubeflow Pipelines.
• Serving Infrastructure: Build highly available, low-latency, and high-throughput model serving infrastructure.
• Observability: Implement robust monitoring, alerting, and logging solutions to track infrastructure health, model performance, and data/model drift.
• Tooling & Support: Evaluate, integrate, and support ML tools such as Feature Stores and distributed model training pipelines.
• Security & Compliance: Ensure platform security, implement RBAC (Role-Based Access Control), and manage secrets for sensitive data and production environments.
• Collaboration: Work closely with Data Scientists and ML Engineers to understand their needs and provide technical guidance on best practices for scaling their models.Spearhead the creation of AI solutions to enable growth and drive internal efficiency across the business.

What You Need to Have:

• 5+ years in backend software development, with at least 2+ years focus on AI/ML Platform or MLOps infrastructure.
• Deep expertise in MLOps practices, including automated deployment pipelines, model optimization, and production lifecycle management.
• Proven experience designing and implementing low-latency model serving solutions.
• Proficiency in Python.
• Skill in writing high-quality, maintainable code.
• Experience in design and development of large-scale distributed, high concurrency, low-latency inference, high availability systems.
• Excellent communication and mentoring abilities.
• A relevant degree in Computer Science, Mathematics or related fields.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

• Provide support in organizing and overseeing day-to-day facility upkeep to keep project activities on track.
• Coordinate project timelines and deliverables with clients, consultants, and subcontractors for timely completion.
• Perform on-site inspections to monitor work progress, conduct quality checks, and provide feedback for improvements.
• Support the preparation and submission of technical drawings and related project documentation.
• Handle administrative duties linked to project activities and provide on-site support when necessary.

Requirements:

• Diploma in Mechanical, Electrical Engineering, or equivalent
• At least 2 years of experience in the M&E/Construction Industry.
• Advantageous to have relevant safety certifications.
• Able to work independently and under tight deadlines.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

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

Machinery Service Engineer (Semiconductor Industry)

• Office Location: Kaki Bukit, Singapore
• Working Hours: Mon – Fri 8.30am – 5.00pm
• Monthly Salary: Base up to $3000 + Allowance + AWS + Variable Bonus (VB)
• Employment Type: Contract

Company Overview

The company is a well-established global leader providing advanced production systems and technical services in the printed circuit board and semiconductor industry. The company uses cutting-edge Japanese technology and offers strong opportunities for learning and career growth.

Responsibility

• Install, configure, and maintain production machinery at local and regional sites.
• Diagnose and resolve equipment issues to ensure optimal performance and minimize downtime.
• Manage spare parts inventory to support timely and effective maintenance activities.
• Travel domestically and internationally for project assignments, training, and technical support.
• Collaborate with clients and internal teams to troubleshoot and resolve technical challenges efficiently.
• Maintain accurate documentation of service activities and provide regular updates to stakeholders.
• Comply with all safety regulations, workplace procedures, and environmental protocols to ensure a safe working environment.

Requirements

• Diploma or equivalent in Electronics/Electrical/Microelectronics Engineering or related fields
• Frequent overseas travel for training and service assignments may be required; candidates with flexibility to travel will be viewed favorably.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678