Machine Learning Platform Engineer

7 days ago

Singapore Shopee Full time

DepartmentEngineering and Technology- LevelExperienced (Individual Contributor)- LocationSingaporeThe Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed the most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do. Browse our Engineering and Technology team openings to see how you can make an impact with us.

**About the Team**:

- Shopee Paid ads team was established in 2016 to provide an e-commerce advertising platform by relying on Shopee’s massive data. Our expertise covers data, high performance AI-based online services, distributed systems, machine learning algorithms, and ads business strategies. The team places a strong emphasis on technology and strives to achieve innovation.- Involved in the design, development, testing and deployment of advertising machine learning platforms
- Develop and optimise the deep learning framework
- Implement and enhance distributed training engines

**Requirements**:

- Bachelor’s degree or higher in Computer Science or relevant fields with solid understanding of network, operating system (Linux), data structure and algorithm
- Familiar with any programming languages such as Python, c/c++ or Golang
- Familiar with Docker and Kubernetes and has experience in backend development under micro-service architecture
- Experience in Kubeflow is a plus
- Experience in the development of distributed databases, or storage systems is a plus

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