11 days
87 R&D Engineer Jobs in Malaysia | Job Vacancies | October 2026 | Maukerja
Showing 87 jobs results for
"r&d engineer"
Security Web Gateway R-D Engineer
13 days
30+ days
- Contribute to building the intelligent operations system for ByteDance's global Video & Edge business. Work on solution design, technology evaluation, core module development, testing, and delivery for AI Agent and AIOps platform capabilities.
19 days
- Contribute to building the intelligent operations system for ByteDance's global Video & Edge business. Work on solution design, technology evaluation, core module development, testing, and delivery for AI Agent and AIOps platform capabilities.
29 days
7 days
7 days
- Assist in the electrical design of new and existing data center projects.
24 days
- Assist in the electrical design of new and existing data center projects.
23 days
- Assist in the electrical design of new and existing data center projects.
22 days
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
20 days
- Responsible for building and continuously optimizing algorithm solutions in product profiling construction & product information quality improvement etc. to accelerate supply operational efficiencies in global e-commerce markets;
19 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.
19 days
- As a member of the Infrastructure Security team, you will focus on 2–3 of the following areas based on your interests, experience, and the team's priorities；
19 days
- Develop and maintain the BytePlus website development, and AI platform.
19 days
- Build platforms, systems and services for internal and external teams to interact with the large scale production systems.
19 days
- Multi-technology collaborative innovation: Liquid cooling technology must overcome challenges in efficient heat transfer and system reliability. Water-saving cooling sources need to achieve low water-efficiency temperature (WET) and coordinate dry and wet cooling methods. Power supply, distribution, and energy storage must solve source-grid-load-storage matching issues and enhance full-process efficiency. Coordinating innovations across these areas is highly complex.
19 days
- Cloud Platform Direction:
19 days
- Research Project on Large-scale recommendation systems
19 days
- Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
19 days
- Reliability: Ensuring the reliability and efficiency of our core infrastructure, focusing on system capacity and stability; setting up reliability standards and recovery SOP.
19 days
- Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
19 days
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
19 days
- Cloud Platform Direction:
18 days
- Design, build, operate and optimize ByteDance's global network, including backbone, data center, public cloud and Edge/CDN.
7 days
- Research Project on Large-scale recommendation systems
25 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.
25 days
- Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.
25 days
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
24 days
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