Total 28 operations engineer job vacancies in D21 Upper Bukit Timah, Clementi Park, Ulu Pandan

Job Description:

• Responsible for on-site technical and engineering matters.
• Supervise & coordinate day-to-day site works, including sub-contract works, safety and quality control.
• Site inspection & upkeep site record.
• Liaise with consultants, client etc.
• Other duties assigned by Site Manager / PM.

Requirements & Qualifications:

• Graduate Bachelor in Engineering (Civil) or equivalent.
• 3-5 years work experience in Building Construction.
• Able to work independently.
• Autodesk Revit MEP experience will be an advantage

We are looking for an Electrical Engineer with 2-5 years working experience who would have the following experience / knowledge/ qualities :-

• Basic Electrical Building Services Design knowledge
• Familiar with local codes and standards (e.g SS 568, 560 etc)
• Able to perform cable size and voltage drop calculation conforming to local codes and standards. Familiar with earthing and lighting protection works.
• Familiar with CAD software and able to make minor modification independently.
• Self-motivated individual able to lead a team of supervisors and electricians independently.
• Coordinate with Project Team to execute the works including scheduling of works for the team.
• Coordinate and support Project LEW for Power Turn ON, Testing and Commissioning.
• Project progress monitoring & updating to Project Manager
• Able to communicate and present to client on project status etc.
• Able perform Bid Estimation and submission.
• Able to perform material take off from project drawings (e.g. cable containment routing drawings, small power and lighting layout etc)

Requirements

• Min Diploma in Electrical Engineering or equivalent
• Strong technical background with sound knowledge of electrical construction works
• Proficient in MS Office (e.g Excel, Word & Power Point)
• Possess good writing, communication and interpersonal skills
• Drafting knowledge using AutoCAD is an added advantage
• Working in a “Live” process plant is an added advantage.
• Fresh Graduates are welcome to apply

We are looking for an Instrumentation Engineer with minimum 5 years experience who would have the following experience/knowledge/qualities:-

• Familiar with local and international instrument and panel installation standards
• Hands on experience in calibration of instruments
• Able to Perform Loop checks
• Coordinate with Project Team to execute the works including scheduling of works for the team.
• Self-motivated individual able to lead a team of supervisors and Technicians independently.
• Project progress monitoring & updating to Project Manager.
• Able to communicate and present to client on project status etc.
• Able perform Bid Estimation and submission.
• Able to perform material take off from project drawings (e.g Hook up drawings, P&ID, Instrument index, I/O list etc)
• Proficient in MS Office (e.g Excel, Word & Power Point)
• Working experience in “Live” Process plants is an added advantage

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation.

The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company.

RESPONSIBILITIES:

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Be an advocate and develop mutual trust with the technical audience on the customer side

MINIMUM REQUIREMENTS:

• Minimum 10-12 years of experience working in customer facing sales engineering (tech pre-sales) role
• Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Hands-on expertise with SQL (Python knowledge would be a bonus)

STRONGLY DESIRED:

• Data Science knowledge and experience
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Software development experience with Java, Spark and other scripting languages
• Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms
• Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events
• Sound understanding and experience in the Singaporean market and technology ecosystem

ADDED BONUS FOR:

• Strong Data Science/AI/ML experience across a variety of platforms
• Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc)
• Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud
• Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services
• OLAP Data modeling and data architecture experience
• Experience selling enterprise SaaS software
• Proven success at enterprise software start-ups

Job Descriptions:

• Conduct site inspections for bus shelters to verify compliance with guidelines.
• Input data for bus shelter records.
• Provide operational assistance to the team when required.

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

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

• Design of control systems, instrumentation, cabling and cable support systems for Process equipment, Industrial Facilities and Commercial Buildings, with the support of a senior engineer if necessary;
• Design of Life Safety System comprising of Public Address Systems, Access control, Closed Circuit Television, Gas Detection and Fire Alarm systems with the support of a senior engineer if necessary;
• Design of Information Technology cabling system with the support of a senior engineer if necessary;
• Develop P&IDs, Instruments and IO list, Sequence of Operations, Logic Diagrams, Cause and effect matrices with the support of a senior engineer if necessary;
• Develop / Execute / Expedite ELV packages during design, procurement, construction phase of a project and taking responsibility for the assigned packages;
• Co-ordination and scheduling activities for the ELV supervisors on a project to ensure timely delivery at project milestone dates;
• Interfacing with other trades during design phase and incorporate their requirements into the ELV systems design;
• Technical Evaluation of vendor submissions including approval of shop drawings;
• Preparing the procedure for testing and commissioning of individual system and manage subcontractor during commissioning of the Extra Low Voltage systems;
• Guiding Designer / Draftsman for preparing cable routing plan, hookup drawings, wiring drawings, cable schedule, Junction Box schedule, Instrument Air manifold schedule, Block diagrams, P&IDs, Control System Schematic.

Requirements

• Minimum 4 years of relevant experience
• Good technical knowledge and understanding of Engineering Design and Construction for Basic Electrical Equipment and distributions concepts
• Basic knowledge of Project execution processes.
• Advanced knowledge of local code of practice of design implementation.
• Local construction knowledge

Bayes advices leading technical businesses and progressive employers on talent acquisition, shaping perspectives and integrating recruitment expertise to fulfill critical and complex hires. If the role resonates with you and your professional experience complements the responsibilities listed, send your resume to [email protected]

Bayes Recruitment Pte Ltd
16 Collyer Quay, Singapore 049318
bayesrecruitment.com
EA License 10C5468 | EA Registration R2197948

Our website comprehensively shares our Privacy and Data Protection Policy, standards & compliance, and legal responsibilities. All personal data supplied will be treated in confidence, and as permissible by law. By submitting your resume for an application, you also consent that you may be contacted for future, or potential opportunities that may complement your expertise as applicable. You can opt out at any time by contacting our Data Protection Officer.

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.

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

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

Why Join Us

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

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

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

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

Join us.

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

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

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

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

Why Join Us

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

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

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

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

Join us.

About The Team

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or equivalent

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

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

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

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

- Familiar with Unix/Linux operating systems.

Preferred Qualifications

- Ability to thrive in a fast-paced environment.

- Strong understanding of code optimizing and routine tasks automation.

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

- Solid background of algorithms and data structures.

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

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

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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

Responsibilities

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

- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc

- Build globalized large-scale recommendation system

- Design and develop high performance computing frameworks and storage systems

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

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

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

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

Qualifications

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

- Experience programming in at least one of the following programming languages: C, C++, Java or Golang;

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Preferred Qualifications

- Experience in e-commerce related areas

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. 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

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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

- Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

- Experience of Peta Byte level data processing is a plus

- At least 3 years of relevant experience

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. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

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

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

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

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

Join us.

About the Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

This person will be responsible for the design and development of the live broadcast recommendation system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking; common components and services of the postal image system, building recommendation platforms, and supporting new Factory incubation.

Responsibilities

- Responsible for the live broadcast recommendation architecture of TikTok and it's affiliated products, and solve the architecture optimization problem of the recommendation architecture system

- Support the design and development of the live broadcast SaaS recommendation system, and the output core recommendation capabilities of bytes and high-quality content to partners

- Focus on Architecture abstraction and process optimization for recommendation scenarios, support large-scale machine learning optimization

- Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability

- Research and development and optimization of core components, application and implementation of new technologies

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

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

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

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

Qualifications

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

- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;

- Solid programming ability, excellent design and code style, enthusiastic about technical challenges

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks 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 is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

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

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

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

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

Join us.

About the Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

This person will be responsible for the design and development of the live broadcast recommendation system architecture, ensuring system stability and high availability; responsible for online services, offline data flow performance optimization, solving performance bottlenecks, reducing costs and unlocking; common components and services of the postal image system, building recommendation platforms, and supporting new Factory incubation.

Responsibilities

- Responsible for the live broadcast recommendation architecture of TikTok and it's affiliated products, and solve the architecture optimization problem of the recommendation architecture system

- Support the design and development of the live broadcast SaaS recommendation system, and the output core recommendation capabilities of bytes and high-quality content to partners

- Focus on Architecture abstraction and process optimization for recommendation scenarios, support large-scale machine learning optimization

- Focus on large-scale systems with high concurrency and high throughput, improve system stability, performance, and scalability

- Research and development and optimization of core components, application and implementation of new technologies

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

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

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

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

Qualifications

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

- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;

- Solid programming ability, excellent design and code style, enthusiastic about technical challenges

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks 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.

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 with 3+ years of relevant experience

- Proven experience in analyzing and troubleshooting distributed systems.

- Prior experience designing and maintaining large-scale systems.

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

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

- Experience in building solutions with AWS, GCP, 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 Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

1. Bachelor's degree or above in computer science, software engineering, or a related field

2. Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

3. Familiar with Java, C ++ and other programming languages

4. Strong coding and trouble shooting ability

5. Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

6. Experience of Peta Byte level data processing is a plus

7. At least 3 years of relevant experience

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. 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

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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

- Bachelor's degree or above in computer science, software engineering, or a related field

- Familiar with many open source frameworks in the field of big data, e.g.Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

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, 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.

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 at least 5 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.

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

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. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

Responsibilities - What You'll Do

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

- Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;

- Build globalized large-scale recommendation system;

- Design and develop high performance computing frameworks and storage systems.

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

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

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

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

Qualifications

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

- Experience programming in at least one of the following programming languages: C, C++, Java or Golang;

- Effective communication skills and a sense of ownership and drive;

- Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Preferred Qualifications

- Experience in e-commerce related areas

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.

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

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

Why Join Us

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

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

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

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

Join us.

About The Team

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

Responsibilities

- Serving and training infra optimization of machine learning models

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

- Build globalized large-scale recommendation system

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

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

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

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

Qualifications

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

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

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

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

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

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

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

Why Join Us

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

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

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

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

Join us.

About The Team

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

Responsibilities

- Serving and training infra optimization of machine learning models

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

- Build globalized large-scale recommendation system

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

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

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

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

Qualifications

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

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

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

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

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

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

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will lead the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-to-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.