Backend Engineer - TikTok Recommendation Architecture, Singapore

About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an 'Always Day 1' mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
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 Career growth opportunity, Paid leave, Flat organization 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.
Responsibilities - Build and maintain high performance online services for 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 Minimum Qualification(s) - Bachelor's degree or above, majoring in Computer Science, or related fields, - Experience building scalable system - Experience programming in at least one of the following programming languages: C, C++, Java or Golang
Preferred Qualification(s) - Effective communication skills and a sense of ownership and drive - Experience in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. - At least 3 years of relevant experience