Machine Learning Engineer - TikTok Search Ranking

TIKTOK PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading technology company in Singapore seeks skilled professionals to join the Search Ranking Team. The role involves designing and optimizing algorithms for search and recommendation systems using advanced AI technologies. Candidates are expected to have a Bachelor’s degree in Computer Science or a related discipline, proficiency in programming languages such as C++, Python, or Java, and a solid foundation in machine learning principles. Effective communication and teamwork skills are preferred, as collaboration on innovative projects is vital.

Qualifications

• Bachelor's degree or above in computer science or related technical discipline.
• Proficient coding skills in C++, Python, or Java.
• Solid knowledge of machine learning with practical experience.

Responsibilities

• Design, develop, and optimize search and recommendation algorithms.
• Participate in the optimization of trillion-scale index libraries.
• Conduct research on next-generation ranking models.

Skills

C++

Python

Java

Machine Learning

Algorithms

Data Structures

Education

Bachelor's degree in Computer Science or related field

Job description

Responsibilities

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

• Apply cutting‑edge information retrieval and machine learning technologies to design, develop, and optimise industry‑leading search and recommendation algorithms, to improve end‑to‑end user experience for billions of users across global platforms.
• Participate in the optimisation of trillion‑scale index libraries, trillion‑parameter models, ultra‑long‑term user job family modelling, large‑scale sparse models, and many other cutting‑edge research topics.

LRM (Large Recommendation Model)

• 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.
• Explore cutting‑edge technologies including short‑video multimodal machine learning, generative models, scaling law, sparse MoE, and reinforcement learning.

Qualifications

Minimum Qualifications

• Bachelor’s degree or above in computer science or a related technical discipline.
• Proficient coding skills and strong algorithm & data structure knowledge using C++, Python, or Java.
• Solid knowledge of machine learning and practical experience in applying it.

Preferred Qualifications

• Effective communication and teamwork skills.
• Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.