机器学习平台研发工程师
Tencent
机器学习平台研发工程师
Job Description
机器学习平台研发工程师
📋 Job Overview
The Machine Learning Platform R&D Engineer role at Tencent involves developing and maintaining an MLOps platform to support large-scale machine learning tasks in areas like search, advertising, content recommendation, and finance. The position focuses on enhancing platform stability, security, usability, and efficiency to boost ML research and development productivity. Responsibilities include optimizing GPU scheduling, resource utilization, tracking industry trends, and driving continuous platform upgrades.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2. 持续提升平台运行稳定性、安全性，改善平台易用性，提高机器学习研发效率
3. 优化平台GPU调度效率，提高资源利用率
4. 追踪前沿动态，优化技术架构，不断推进平台升级
🎯 Key Responsibilities
- Participate in the construction of the machine learning MLOps platform, supporting scheduling and management of massive machine learning tasks in scenarios such as search, advertising, content recommendation, and finance
- Continuously improve platform operation stability and security, enhance platform usability, and increase machine learning R&D efficiency
- Optimize platform GPU scheduling efficiency and improve resource utilization
- Track frontier dynamics, optimize technical architecture, and continuously promote platform upgrades
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Participate in the construction of the machine learning MLOps platform, supporting scheduling and management of massive machine learning tasks in scenarios such as search, advertising, content recommendation, and finance
- Continuously improve platform operation stability and security, enhance platform usability, and increase machine learning R&D efficiency
- Optimize platform GPU scheduling efficiency and improve resource utilization
- Track frontier dynamics, optimize technical architecture, and continuously promote platform upgrades
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台研发工程师 @ Tencent.
Related Books and Jobs
机器学习平台研发工程师
Tencent
机器学习平台研发工程师
Job Description
机器学习平台研发工程师
📋 Job Overview
The Machine Learning Platform R&D Engineer role at Tencent involves developing and maintaining an MLOps platform to support large-scale machine learning tasks in areas like search, advertising, content recommendation, and finance. The position focuses on enhancing platform stability, security, usability, and efficiency to boost ML research and development productivity. Responsibilities include optimizing GPU scheduling, resource utilization, tracking industry trends, and driving continuous platform upgrades.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2. 持续提升平台运行稳定性、安全性，改善平台易用性，提高机器学习研发效率
3. 优化平台GPU调度效率，提高资源利用率
4. 追踪前沿动态，优化技术架构，不断推进平台升级
🎯 Key Responsibilities
- Participate in the construction of the machine learning MLOps platform, supporting scheduling and management of massive machine learning tasks in scenarios such as search, advertising, content recommendation, and finance
- Continuously improve platform operation stability and security, enhance platform usability, and increase machine learning R&D efficiency
- Optimize platform GPU scheduling efficiency and improve resource utilization
- Track frontier dynamics, optimize technical architecture, and continuously promote platform upgrades
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Participate in the construction of the machine learning MLOps platform, supporting scheduling and management of massive machine learning tasks in scenarios such as search, advertising, content recommendation, and finance
- Continuously improve platform operation stability and security, enhance platform usability, and increase machine learning R&D efficiency
- Optimize platform GPU scheduling efficiency and improve resource utilization
- Track frontier dynamics, optimize technical architecture, and continuously promote platform upgrades
Tags & Categories
Answer 10 quick questions to check your fit for 机器学习平台研发工程师 @ Tencent.
Related Books and Jobs