Applied AI Architect, BytePlus
23 days
Machine Technician Jobs in Singapore - October 2026 - Urgent Hiring
Showing 99 jobs results for
"machine technician"
in Singapore
23 days
- Representation of multimodal samples
5 days
- Representation of multimodal samples
29 days
- Representation of multimodal samples
27 days
19 days
Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2026 Start (PhD)
- 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.
23 days
- Distributed Orchestration & Scheduling by providing support on distributed deployment of services/model training and inference tasks)
23 days
- Responsible for the iteration of the underlying architecture of the large model inference engine and end-to-end GPU performance optimization, through means such as operator fusion and compilation optimization, deeply optimizing GPU memory access, computing pipeline, and Stream asynchronous scheduling, eliminating inference computing bottlenecks, improving single-card inference throughput, and reducing inference latency.
23 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
23 days
- Research Project on Large-scale recommendation systems
23 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.
23 days
Content Understanding LLM Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
- 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.
23 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.
23 days
- Lead the construction of the global payment data warehouse and data model design, and develop offline and real-time data pipelines.
23 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
23 days
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
23 days
22 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
7 days
- Research Project on Large-scale recommendation systems
29 days
Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2026 Start (PhD)
- 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.
29 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.
29 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
29 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.
29 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.
28 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
28 days