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Machine Learning Platform Developer
2 weeks ago
BYTEDANCE PTE. LTD. is a leading technology company that inspires creativity and enriches life. Our mission is to create innovative products that connect people from across the globe.
Job Summary
We are seeking a highly skilled Machine Learning Platform Developer to join our team in Singapore. The ideal candidate will have strong software engineering skills, experience with distributed computing, and knowledge of cloud computing and containerization technologies. As a member of our Applied Machine Learning (AML) team, you will design, develop, and maintain core functions of our machine learning platform, including data processing, feature engineering, model training, and model deployment. You will work closely with data scientists and machine learning engineers to understand their requirements and provide tool and technical support.
Key Responsibilities
- Design, develop, and maintain core functions of the machine learning platform
- 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
Requirements
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Possess solid software engineering skills and be proficient 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. Strong analytical and problem-solving skills, ability to quickly understand and solve engineering problems
Preferred Qualifications
- A preference for candidates with knowledge and experience in machine learning and deep learning, but it is not required. We value candidates' engineering capabilities and overall quality more.
About the Team
The Applied Machine Learning (AML) team is responsible for developing and maintaining our machine learning platform. Our team oversees the company's critical machine learning platform and serves as a foundation for recommended advertising and search. Here, you can work on recommended systems and distributed training of large-scale deep learning models.
