- Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.
30+ days
1,600+ Internship Engineering Jobs in Malaysia | Job Vacancies | November 2026 | Maukerja - Page 39
Showing 1,615 jobs results for
"engineering"
- Design and implement data warehouse architecture, data models, and ETL pipelines.
30+ days
- Design and implement offline and real-time data processing architectures for live broadcast recommendation systems
30+ days
- Plan and lead large-scale technical projects to lay the foundation for the iterative development and scale of early products
30+ 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.
30+ days
- Leverage algorithms and cutting-edge AI technologies/tools to address account security-related risk issues across TikTok and other overseas business lines, including scenarios such as social, live streaming, e-commerce, local services, and payment.
30+ 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.
30+ days
- Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints — maximizing GMV and conversion rate.
30+ days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
30+ days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
30+ days
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
30+ days
- Assist in developing and implementing automation solutions for manufacturing
30+ 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.
30+ days
30+ days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
30+ days
- Design and implement unified offline and real-time data architectures for large-scale recommendation system feature storage
30+ days
- Translate business requirements and end-to-end solution designs into technical implementations, and build batch and real-time data warehouses.
30+ days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
30+ days
- Participate in quality assurance for TikTok’s Live LLM initiatives, and assist in building the quality system for large model applications.
30+ days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
30+ days
- Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints — maximizing GMV and conversion rate.
30+ days
- Build and evolve the agent runtime (harness / agent loop) powering our customer-service agents — orchestrate skills, tools, and context; implement loop control & intervention, progressive disclosure, and behavior-level guardrails.
30+ days
- Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
30+ days
- Support equipment improvement initiatives by analyzing equipment performance, identifying improvement opportunities, and proposing solutions to enhance equipment reliability, efficiency, and productivity.
30+ days
- Responsible for query-related recommendation scenarios in e-commerce search, including dropdown recommendations, inline recommendations, trend recommendations, and interactive category navigation queries, continuously enhancing the user's guided shopping experience.
30+ days
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
30+ days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
30+ days
- Design, build and optimize distributed training infrastructure and low-latency online inference systems for large-scale recommendation models and Large Language Models
30+ days
AI Feature-Computing-Storage Engineer Intern (TikTok Recommendation Ecosystem) - 2027 Start (PhD)
- Conduct research on next-generation streaming lakehouse architectures and data processing systems for large-scale recommendation feature pipelines
30+ days
- Research and practice large model prompt word engineering, and explore the application of large models in content understanding tasks, including feature engineering, algorithm design, training, and deployment
30+ days
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