Backend Engineer, TikTok Recommendation Developer Infrastructure
1 day ago
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. Due to the big system scale and large engineering community that covers multiple Recommendation products, we invest heavily in the developer infra area, from developer environments and continuous integration/continuous deployment (CI/CD) to frameworks, libraries, and various productivity tools.
Responsibilities
- Provide high-performance, highly available, and flexible architecture design, high-quality code implementation, and continuously improve engineering quality based on product and strategy requirements for complex business scenarios;
- Build a recommendation system analysis platform to provide product-level tool support for problem analysis and debugging;
- Thoroughly comb through existing business systems, identify and optimize weak links in the system, improve the overall architecture quality, service performance, and stability of the system;
- Abstract and precipitate common business architecture based on actual business conditions, improve the degree of basic capability reuse, and better support business rapid iteration.
Qualifications
Minimum Qualifications
- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience building scalable systems;
- Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang;
- Effective communication skills and a sense of ownership and drive;
Preferred Qualifications
- 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.
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