Backend Engineer - TikTok Recommendation Architecture Live
Feb 21, 2023 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
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
Minimum Qualification(s)
- 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
Preferred Qualification(s)
- 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.
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
Minimum Qualification(s)
- 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
Preferred Qualification(s)
- 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.
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
Minimum Qualification(s)
- 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
Preferred Qualification(s)
- 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.
Responsibilities
ResponsibilitiesAbout 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
QualificationsMinimum Qualification(s)
- 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
Preferred Qualification(s)
- 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.
Additional Information
- Posted: Feb 21, 2023