Machine Learning Platform Developer

3 weeks ago


Singapur, Singapore TikTok Full time
About The Team

The Applied Machine Learning team at TikTok is seeking a skilled Machine Learning Platform Engineer to design, develop, and maintain our machine learning platform. This platform supports deep learning models for code development, testing, training scheduling, model deployment, and other core business functions.

Key Responsibilities
  • Design and develop core functions of the machine learning platform, including data processing, feature engineering, model training, 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.
  • Manage and monitor the operation of the machine learning platform and troubleshoot any platform-related issues.
  • Continuously track and evaluate emerging technologies and tools and provide suggestions for platform improvements and development.
Requirements
  • Bachelor's or above degree in computer science, software engineering, or a related field with 1+ years of relevant experience.
  • Solid software engineering skills and proficiency in developing using common programming languages (such as Python, Java, or C++).
  • In-depth understanding of distributed computing and principles and technologies of large-scale data processing, familiar with related open source tools and frameworks (such as Hadoop, Spark, etc.).
  • Demonstrate understanding of cloud computing and containerization technologies such as AWS and Docker.
  • Enthusiastic about learning new technologies and solving complex problems, passionate about engineering challenges.
Preferred Qualifications
  • A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required.


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