Total 287 operations engineer job vacancies in Maintenance / Repair category in no 3 changi business park crescent changi business park singapore

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

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.

We are hiring Machine Learning Engineer for a technology client on a yearly renewable contract role. The team is building cutting-edge tools and infrastructure to drive innovation and automation throughout the organisation. In this role you will contribute to the creation of new compute layer using Ray and you will help drive the set-up of the infrastructure for Ray on Kubernetes and its integration with the existing Data system

What you’ll do :

• Deliver high-quality AI infrastructure solutions: You will work with the Machine Leaning Platform team to design and develop the infrastructure to support Ray for distributed data processing and model training. You will develop using GitOps to ensure the reproducibility of the system's cloud infrastructure on different Kubernetes clusters.
• Develop observability solutions for Ray: You will be responsible for developing and integrating monitoring and alerting within the client’smonitoring stack powered by Datadog, Prometheus and Grafana. You will also contribute to the creation of runbooks and DevOps guides.
• Support the data science community in adopting Ray: You will work with our product team to socialise Ray's use. You will be responsible for supporting users in running their job on the Ray clusters.

What you’ll need:

• In-depth knowledge of ML-OPS with a solid understanding of distributed computing for data processing. Knowledge of Ray is preferable, but other frameworks, such as Dask, Modin, Beam, Horovod, and Deepspeed, are also valued.
• An understanding of, and ideally experience with, image generation models such as stable diffusion and flux.
• An understanding of ML inference using LLM and other generative models.
• Good knowledge of Python and ML ecosystems.
• Strong understanding of developing and deploying systems on Kubernetes.
• Previous experience with GitOps solutions like ArgoCD is preferred. Good knowledge of Helm and Kustomise is also valued.
• Good DevOps background, with Infrastructure as Code (IaC) such as code with Terraform preferred
• At least 3 years of relevant Machine Engineering experience

If this role sounds like an ideal job move, please hit the apply button with your latest resume alternatively you can email me the resume at [email protected]

Regret only shortlisted candidates will be notified.

CEI No: R1659595 / EA No: 07C3147

1. JOB DESCRIPTION

Job Title

Technician/Engineer (Contract/Perm)

Occupation

Technician/Engineer

Job Description & Requirements

Job Highlights

• Mon - Fri 8.30am to 5.30pm. Training provided
• Transport and Mobile Allowance + OT + Medical reimbursement

Job Description

Responsible for facility hook-up, installation, repair and start-up process of semiconductor equipment.

Responsibilities

• Perform installation work according to guidelines and procedures
• Perform safe and proper move-in according to procedures
• Tally and check the conditions of parts and accessories
• Support engineering activities
• Ensure good EHS compliance

Requirements

• Must possess Min. Certificate / Diploma in Electrical / Mechanical / Electronic Engineering or equivalent
• Preferred bilingual in English and Chinese to handle Chinese speaking customers’ technical enquires & conduct trouble shooting based on customers’ feedback
• Cleanroom environment
• Able to start immediately preferred

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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

Join us.

About The Team

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

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

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

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

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

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

- Solid background of algorithms and data structures.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About TikTok

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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring jTikTok 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 Search team is mainly responsible for the search algorithm innovation and architecture research and development of Douyin, international short video, Jinri Toutiao, Watermelon video and other products, as well as e-commerce, life services and other businesses. We use cutting-edge machine learning technology for end-to-end modeling and continuous innovation and breakthroughs, while focusing on the construction and performance optimization of distributed systems and machine learning systems.

Department work:

1. Participate in the research and development of international short video search engines, using cutting-edge machine learning algorithms and massive data to make the most exciting technologies and give users the best search experience;

2. Participate in the improvement of international short video search algorithms. Optional directions include:

(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges;

(3) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.;

(4) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better;

(5) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.

Qualifications

Minimum Qualifications

- Bachelor or advanced degree in computer science or a related technical discipline.

- Excellent coding skills. Solid knowledge of data structure and algorithms.

- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications

- Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be 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 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

- At least 3 years of work experience in related field

- 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)

- 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.

Position title : Maintenance Engineer

Location: Tuas
Working Days: 5 days (Mon-Fri)
Working hours : 7:30am to 5:15pm
Salary Range: $3k - 4k

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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

Join us.

About The Team

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

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

What you'll do

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

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

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

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

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

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

Qualifications

Minimum Qualifications

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

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

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

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

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

Preferred Qualifications

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

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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).

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.

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

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

Why Join Us

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

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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

Join us.

About the team

Our 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

- 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)

- 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.

Company's Profile
Julian Grey’s client is a global semiconductor equipment provider, specializing in inspection solutions for various industries. They have offices in APAC and are seeking motivated individuals to join their growing team.

Responsibilities

• Install and calibrate optical inspection systems.
• Program and test for operational accuracy.
• Ensure compliance with client specifications.
• Troubleshoot and resolve technical issues.

Requirements

• Experience in semiconductor and automation industries.

Follow us for more updates, interview tips!
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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

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 imagination 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.

Our team is responsible for providing TikTok search users with first-class search experience by building a strong and robust infrastructure and platform to support product fast iteration and key feature development. In our team, you'll have the opportunity to take part in developing the key features on TikTok Search, understand how TikTok Search could be evolved to be a multi-billion-user product and first-handed experience how user request varies on this giant from time to time. We encourage a culture of self-driven, intellectual curiosity, openness and problem-solving.

Responsibilities

- Optimize the search quality in poi and service, provide TikTok's users the best search experience

- Combine your understanding of product objectives and take full advantage of modern machine learning, NLP and Multimodal techniques to improve the search result metrics

- Work with products and DAs, and other engineers to deliver features to drive the experience optimization of products.

Qualifications

Minimum Qualifications:

-Bachelor degree or above in the field of computer science or a related technical discipline

-Proficient coding skills and strong algorithm & data structure basis in C++/Python/Java

-Experience in one or more of the following areas: NLP, Ranking, Ads, Search engine, Recommender System, and Machine Learning

-Effective communication and teamwork skills.

Preferred Qualifications

- Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

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

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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

Join us.

About The Team

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

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

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

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

- Solid background of algorithms and data structures.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

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 as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

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

About The Team

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

- Experience programming in at least one of the following languages: Python or Golang

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

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

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

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

- Solid background of algorithms and data structures.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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.

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.

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.

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 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 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 TikTok, 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 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

Minimum 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.

• Location: Tuas Avenue
• Working Days: 5 days (Mon-Fri)
• Working hours : 7:30am to 5:15pm
• Salary Range: $3k - 4k

Responsibilities:

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Requirements:

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

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 (Ashley) Reg No: R22108289

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

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].

Location: Tuas Avenue
Working Days: 5 days (Mon-Fri)
Working hours : 7:30am to 5:15pm
Salary Range: $3k - 4k

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

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

Location: 11 Tuas Avenue 6, Singapore 639299
Working Days: 5 days (Mon-Fri)
Working hours : 7:30am to 5:15pm
Salary Range: $3k - 4k

Job Responsibilities

• Monitor the machines and company equipments operational performance and condition
• Conduct preventive maintenance to machine and company equipments as per schedule
• Review and update all existing machine maintenance documents
• Prepare and design the spare parts for machines and company equipments
• Report any unsafe conditions and practices to Production Manager
• Assist of production and purchasing department of manufacturing / purchasing spare parts
• Monitor spare parts stock level and raising purchase order
• Managing, delegating and training the maintenance group
• Involve in the implementation and continuous maintenance of HSE Management System
• Perform any other duties assigned by the Production Manager

Accountable

• Meeting department quality objectives
• Ensure maximized machine uptime
• Ensure planned preventive maintenance is carried out effectively to minimize machine down time
• Ensure sustainable continuous improvement initiatives are carried out on machine, equipment and facilities

Job Requirements

Skill Requirements

• Knowledge of precision machining machineries, equipment and facilities
• Knowledge of repair and maintenance on machineries and equipment
• Knowledge of Environment, Health & Safety

Education, Experience & Training

• Diploma in Mechanical/Electrical or Mechatronic Engineering
• 5 years experiences in machine repair and maintenance

Training Requirements

• Quality Management and its related Quality Procedures

Quah Siying (Jeslyn) R1982418

The Supreme HR Advisory Pte Ltd 14C7279