ML Engineer - Global Search & Ranking Systems (Singapore)

TikTok Inc.; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

TikTok is hiring for a Search Ranking Engineer in Singapore. You will help optimize our search and recommendation experience by building scalable algorithms and systems that serve billions of users.

You will work with cutting-edge ML and NLP techniques, explore large-scale models, and translate product goals into concrete ranking improvements. A strong CS foundation and collaboration are essential.

Qualifications

• Bachelor's degree or above in computer science or a related technical discipline.
• Proficient coding skills and strong algorithms & data structures using C++/Python/Java.
• Solid knowledge of machine learning and practical experience applying it.
• Effective communication and teamwork skills.
• Modeling experience in Ads, Search engine, Recommender System, NLP/CV.

Responsabilités

• Using cutting-edge information retrieval and machine learning technologies, develop industry-leading search and recommendation algorithms that directly enhance the real experience of billions of global users.
• Deeply explore how large-scale models will disrupt the next generation of search, recommendation, and ranking models, fully leveraging the world knowledge embedded in these models to bring revolutionary transformations to search and recommendation services.
• Combine your understanding of product objectives and take full advantage of modern machine learning, AI, NLP/CV techniques to improve the search ranking algorithms, including query understanding, video understanding and various levels of result ranking.

Connaissances

C++

Python

Java

Algorithms

Data structures

Machine learning

Formation

Bachelor's degree in Computer Science

Description du poste

TikTok is hiring for a Search Ranking Engineer in Singapore. You will help optimize our search and recommendation experience by building scalable algorithms and systems that serve billions of users.

You will work with cutting-edge ML and NLP techniques, explore large-scale models, and translate product goals into concrete ranking improvements. A strong CS foundation and collaboration are essential.