Backend Engineer - TikTok Recommendation Architecture Live

TIKTOK PTE. LTD.; Singapore; Sur place; SGD 90 000 - 150 000; Plein temps

Résumé du poste

TikTok PTE. LTD. in Singapore is seeking a qualified software engineer to join the Recommendation Architecture Team.

The role focuses on designing and maintaining the live broadcast recommendation system to ensure stability and high availability. You will work on online services, data flow optimization, and building scalable components for the recommendation platform, collaborating with cross-functional teams and applying distributed systems principles.

Qualifications

• Bachelor's degree or above in Computer Science or related field.
• 3+ years of experience building scalable systems.
• Proficient in C, C++, Java or Golang with solid programming skills.

Responsabilités

• Design and optimize the live broadcast recommendation architecture.
• Develop the SaaS live broadcast recommendation system and deliver core capabilities to partners.
• Focus on architecture abstraction and optimization for large-scale ML scenarios.
• Improve high-concurrency and high-throughput systems for stability and scalability.
• Research, develop, and implement new technologies in core components.
• Collaborate with hardware and software teams to define requirements.

Connaissances

C

C++

Java

Golang

Formation

Bachelor's degree in Computer Science

Description du poste

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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

Job highlights

Positive team atmosphere, Flat organization, Industry experts

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

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.