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, 100+ mil users, Meal allowance, Competitive compensation

Responsibilities

About the team

The Search Ranking Team is the core algorithm team of TikTok Search business. We are responsible for optimizing user experience in the search and recommendation scenario. We have opened full-link algorithm positions such as indexing, recall, rough sorting, fine sorting, rerank, and mix-rank. Here you'll have the opportunity to build a full-stack search engine system based on advanced AI methods to provide a world leading search engine. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Ranking Algorithm:
1. Apply cutting-edge information retrieval and machine learning technologies to design, develop, and optimize industry-leading search and recommendation algorithms, to improve end-to-end user experience for billions of users across global platforms.
2. Participate in the optimization of trillion-scale index libraries, trillion-parameter models, ultra-long-term user job family modeling, large-scale sparse models, and many other cutting-edge research topics.

LRM (Large Recommendation Model)
1. Conduct In-depth research on next-generation ranking models powered by the world knowledge of large models, to bring revolutionary transformation to search and recommendation services.2. Explore cutting-edge technologies including short video MultiModal Machine Learning, generative models, scaling law, sparse MoE, and reinforcement learning.

Qualifications

Minimum Qualifications

1. Bachelor degree or above in the field of computer science or a related technical discipline

2. Proficient coding skills and strong algorithm & data structure using C++/Python/Java

3. Have a solid knowledge of machine learning and practical experience in applying it

Preferred Qualifications

1. Effective communication and teamwork skills.

2. Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV