- High difficulty in unifying multimodal representations and achieving efficient fusion.
25 days
74 Gl Jobs - October 2026 - Urgent Hiring
Showing 74 jobs results for
"gl"
Applied AI Architect, BytePlus
25 days
- High difficulty in unifying multimodal representations and achieving efficient fusion.
28 days
21 days
20 days
- High difficulty in unifying multimodal representations and achieving efficient fusion.
5 days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
25 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.
25 days
25 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.
25 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
25 days
- Research Project on Large-scale recommendation systems
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
- 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.
25 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
25 days
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
25 days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
25 days
- High difficulty in unifying multimodal representations and achieving efficient fusion.
25 days
24 days
24 days
- High difficulty in unifying multimodal representations and achieving efficient fusion.
11 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
9 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.
29 days
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
29 days
- Responsible for the computational performance optimization of ByteDance's recommendation mid-platform models, conduct in-depth tuning for inference/training bottlenecks in business scenarios, and improve computing utilization.
29 days
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
28 days
- Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
28 days
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