Machine Learning Platform Engineer, Applied Machine Learning Team

The Applied Machine Learning (AML) team is seeking a Machine Learning Platform Engineer to develop and maintain our machine learning platform. The platform supports deep learning models for code development, testing, training, model deployment, and other core business functions. The team oversees the company's critical machine learning platform and serves as a foundation for recommendation, advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.

We welcome candidates interested in machine learning platform engineering and with excellent engineering capabilities to join our team. If you love challenges and want to develop in the innovation field, please submit your application as soon as possible.

What you'll do
- Design, develop, and maintain core functions of the machine learning platform, including data processing, feature engineering, model training, model insights, and model deployment.
- Build efficient, scalable data processing and computing processes to ensure platform stability and performance.
- Collaborate with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.
- Work closely with system administrators and software engineers to ensure smooth platform integration with other systems.
- Responsible for managing and monitoring the operation of the machine learning platform and troubleshooting any platform-related issues.
- Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.

The base salary range for this position in the selected city is $156000 - $387600 annually.