- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
30+ days
Entry Level Engineer Jobs in Singapore - November 2026 - Urgent Hiring
Showing 149 jobs results for
"entry level engineer"
in Singapore
Data Engineer, Ad Data
28 days
- The opportunity to work on TikTok’s audio and video creation experiences and build the next generation of AI-powered creative tools for users worldwide.
14 days
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
14 days
- Collaborate with product/design and other engineering teams to define a world-class video creation experience.
14 days
- Design and implement data warehouse architecture, data models, and ETL pipelines.
14 days
- Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
14 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
14 days
- AI Search & AI Bot Team: Specializes in LLM application algorithm R&D for TikTok Search, covering core scenarios including AI Search Q&A cards and TikTok's official AI Assistant. We leverage LLM ChatBot, Agent, and RAG technologies to deliver accurate, real-time search responses for users, driving business growth through deep integration of technical innovation and business scenarios.
13 days
- Participate in the development of TikTok’s search results page and other related core scenarios, working closely with Product, Design, Algorithm, and other cross-functional teams to independently drive the full cycle from requirement analysis and technical solution design to development, launch, and post-launch evaluation.
13 days
- Design and implement offline data architectures for large-scale recommendation systems.
13 days
Multimodal LLM Algorithm Engineer Graduate (Global E-Commerce, Knowledge Graph) - 2027 Start (PhD)
- Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
13 days
- Design and build the core of an AI-native data platform:
13 days
- Process data processing requests and execute data model design, implementation and maintenance
13 days
- Architect and develop efficient, highly scalable and secured services;
13 days
- Build and maintain high-performance online services and data pipelines for TikTok Live recommendation systems.
13 days
- Participate in building offline and real-time data warehouses for the TikTok Live business.
13 days
- Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
13 days
- Responsible for the design, development, and iteration of AI Agents in TikTok Shop business scenarios, covering the full cycle from requirement analysis to architecture design, development, and launch, delivering intelligent and efficient product experiences for merchants and users;
13 days
- Collaborate with product/design and other engineering teams to define a world-class video creation experience.
13 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
13 days
- Responsible for the search system of TikTok and its affiliated products, and solving the architecture optimization problem of the search architecture system;
13 days
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
13 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
13 days
- Build low-latency online services and real-time data processing pipelines for live broadcast recommendation scenarios
12 days
- Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
12 days
- Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
12 days
- Design and implement reasonable offline data architecture for large-scale recommendation systems
12 days
- Building next-generation generative AI infrastructure for search, advertising, and recommendation businesses.
12 days
- Build prediction/uplift NN model to improve LIVE feature intelligence;
12 days