Backend Engineer, Application Computing (Data + AI)

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, Career growth opportunity, Flat organization

Responsibilities

Team Introduction

The Recommendation Architecture Data Platform (Offline Computing) Team is Responsible for the design and development of the offline computing systems for the recommendation architectures that power products with over 1 billion users, including Douyin, Toutiao, and Xigua Video. The role focuses on ensuring system stability and high availability, abstracting general-purpose real-time computing systems, and building unified recommendation feature and sample platforms. It also involves constructing flexible and scalable high-performance storage systems and computing models, continuously addressing paradigm shifts in recommendation systems, especially in the era of large models.

Reponsibilities

1. Design and implement efficient offline computing systems for large-scale recommendation systems.

2. Design and develop flexible, scalable, stable, and high-performance storage systems and computing models.

3. Conduct troubleshooting on production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production environments.

4. Build industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems.

Qualifications

Minimum Qualifications

1. Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 3 years of relevant experience

2. Deep understanding of big data computing systems, with hands-on experience in Flink, Spark, Paimon, Velox, and other components of the big data computing stack.

3. Familiar with machine learning technology stacks, including core technologies such as PyTorch, LLMs, and multimodal systems, with practical experience.

4. Practical experience with features and samples in search, advertising, and recommendation systems.

5. Strong coding and troubleshooting skills. Proficient in programming languages like Java, C++, Scala, Python.

Preferred Qualification

1. Passion for tackling challenging, undefined problems and a strong enthusiasm for learning new technologies. Habitual in keeping up with new tech trends and regularly following the latest academic papers.