Backend Engineer, TikTok Recommendation Architecture Live

Found in: Talent SG 2A C2 - 1 week ago

Singapore TIKTOK PTE. LTD. Full time
Roles & Responsibilities

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.


Tell employers what skills you have

Machine Learning
Sponsorship
Factory
Scalability
Big Data
Hardware
High Availability
Throughput
Computer Hardware
Research and Development
Software Testing
SaaS
Process Optimization
System Architecture
Research Design
C++

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