Total 320 system engineer job vacancies in Maintenance / Repair category in Singapore

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.​

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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.

Responsibilities

Team Introduction:
The Live Streaming Recommendation Core Technology Team is primarily responsible for foundational models and distribution pipelines in live streaming recommendations, including model iteration for modules such as precision ranking, first stage ranking, and recall. The team's key focus is optimizing algorithmic efficiency by addressing business challenges unique to live streaming content, deeply understanding user needs, and building industry-leading recommendation models. Additionally, the team serves as a centralized platform to support iterative improvements across various verticals within live streaming, accelerating business growth.
Responsibilities:
1. Responsible for algorithmic work in Multimodal Learning, Computer Vision (CV), and Natural Language Processing (NLP) for TikTok's global live streaming business. Explore and implement content understanding technologies across various business lines to drive metric growth and technical innovation.
2. Lead the training and optimization of multimodal large models specifically for live streaming visual styles. Leverage capabilities in high-quality data curation and experience in SFT & RL to achieve SOTA performance in business scenarios.
3. Responsible for building and optimizing the fully automated review architecture for content moderation scenarios. Explore innovative applications of large models within the safety and moderation business.
4. Continuously iterate on the understanding and representation capabilities of live content at various granularities. Explore multimodal recommendation technologies and promote their technical deployment in live streaming recommendation scenarios.
5. Build robust content understanding technical capabilities, explore efficient few-shot recognition and model distillation techniques to support diverse business needs in live streaming (e.g., content diversity recognition, interaction understanding, professionalism modelling).

Qualifications

Minimun Qualification:
1. Master technologies and application experience related to multimodal understanding. Possess a deep understanding of the architecture and training frameworks of mainstream large models, and continuously track the latest advancements in related fields.
2. Passionate about business with a strong sense of ownership and proactivity. Possess excellent communication skills and a strong team spirit.
3. Creative and independent thinker with outstanding skills in experimental analysis and problem-solving. Capable of proposing innovative ideas and validating them through practical implementation.
4. Candidates who have led key projects or published papers in top-tier conferences/journals in the fields of Multimodal Learning or Large Models are preferred.
5. Experience in the end-to-end deployment of content understanding technologies in Recommendation, Search, or Moderation scenarios is a plus.

Preferred Qualification:
At least 2 yrs experience at large scale product oriented IT companies.

Responsibilities

Team Introduction:
TikTok LIVE ecosystem team is dedicated to creating a pleasant and healthy ecosystem environment for all users and creators, pursuing the mission of LIVE 'to inspire interactive creations. Here, you can explore cutting-edge recommendation system technology, revamp the algorithm for ecosystem and business goals across the entire system, and collaborate with the most creative, imaginative, and mission-driven colleagues to continuously drive the evolution of the LIVE ecosystem.

1. Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
2. Understand product objectives and machine learning techniques; improve model and recommendation strategy;
3. Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
4. Understand content security strategy and apply ML algorithms to improve content audit process;
5. Work with cross functional teams to grow ByteDance product in important regional markets.

Qualifications

Minimum Qualifications
1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience;
2. Solid experience with data structures or algorithms;
3. Software development experience through hands on coding in a general purpose programming language;
4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas;
5. Strong communication and teamwork skills;
6. Passion about technologies and solving challenging problems.

Responsibilities

TikTok Core Feed Recommendation team sits in the center of TikTok, designs, implements and improves the core recommendation algorithm that powers the "for you" feed, "following" feed, etc. of the TikTok app. The recommendation system we built connects hundreds of millions of users with relevant content out of billions of videos in real-time, and inspires high-quality content creation for millions of creators on the platform.
The User Growth team is an essential pillar of the Core Feed Recommendation team, directly responsible for implementing and refining new user acquisition and retention strategies. Our team is committed to achieving TikTok's ultimate goals through developing high-performance models and sound strategies. We take pride in our rigorous approach to applied research, innovative system design, and steadfast pragmatism.
We are looking for strong research scientists and engineers at all levels, who are excited about growing their business understanding, building highly scalable and reliable software, and partnering across disciplines with global teams, in pursuit of excellence.

What you'll do:
- Implement machine learning algorithms at large scales to optimize and improve new user acquisition efficiency, and leverage acquisition signals to improve new user retention across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc.
- Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders.
- Run regular A/B tests, perform analysis and iterate algorithms accordingly.
- Have a good understanding of end-to-end machine learning systems. Work with infra teams on improving efficiency and stability.

Qualifications

Minimum Qualifications
• Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning
• Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet)
• Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems
• Prior industry experience with main components of recommendation systems(retrieval, ranking, re-ranking, cold-start etc.) is a plus but not required

Preferred Qualifications
1. Publications at main conferences such as KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys or related conferences
2. Strong tracking record of success in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions
3. Participation in public/open-source AI-related projects which are of high visibility
4. 3 years relevant work experience from a large-scale internet business

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.

Responsibilities

TikTok Core Feed Recommendation team sits in the center of TikTok, designs, implements and improves the core recommendation algorithm that powers the "for you" feed, "following" feed, etc. of the TikTok app. The recommendation system we built connects hundreds of millions of users with relevant content out of billions of videos in real-time, and inspires high-quality content creation for millions of creators on the platform.
The User Growth team is an essential pillar of the Core Feed Recommendation team, directly responsible for implementing and refining new user acquisition and retention strategies. Our team is committed to achieving TikTok's ultimate goals through developing high-performance models and sound strategies. We take pride in our rigorous approach to applied research, innovative system design, and steadfast pragmatism.
We are looking for strong research scientists and engineers at all levels, who are excited about growing their business understanding, building highly scalable and reliable software, and partnering across disciplines with global teams, in pursuit of excellence.

What you'll do:
- Implement machine learning algorithms at large scales to optimize and improve new user acquisition efficiency, and leverage acquisition signals to improve new user retention across all ranking phases including but not limited to retrieval, ranking, re-ranking and etc.
- Work cross functionally with product managers, data scientists and product engineers to understand insights, formulate problems, design and refine machine learning algorithms, and communicate results to peers and leaders
- Run regular A/B tests, perform analysis and iterate algorithms accordingly.
- Have a good understanding of end-to-end machine learning systems. Work with infra teams on improving efficiency and stability.

Qualifications

Minimum Qualifications
• Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, data mining, computer vision, NLP, causal inference, content understanding or multimodal machine learning
• Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/Pytorch/MXNet)
• Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems
• Prior industry experience with main components of recommendation systems(retrieval, ranking, re-ranking, cold-start etc.) is a plus but not required

Preferred Qualifications
1. Publications at main conferences such as KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI、RecSys or related conferences
2. Strong tracking record of success in data mining, machine learning, or ACM-ICPC/NOI/IOI competitions
3. Participation in public/open-source AI-related projects which are of high visibility

Job Description & Requirements

Job Description:

- Perform installation, servicing, and maintenance of equipment

- Troubleshoot and repair technical issues

- Conduct routine inspections and preventive maintenance

- Ensure work is carried out safely and according to company standards

- Prepare basic service reports after work completion

- Support ad-hoc technical tasks as assigned

Job Requirements:

- Minimum NITEC / Higher NITEC / Diploma in Engineering or related field

- At least 1 year relevant working experience preferred (training provided for junior technicians)

- Basic knowledge of electrical/mechanical systems

- Able to work independently and as a team

- Responsible, punctual, and willing to learn