Production Engineer Intern: ML Systems & Scale

BYTEDANCE PTE. LTD.

Singapore

On-site

SGD 17,000 - 26,000

Full time

2 days ago
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Job summary

ByteDance is seeking an intern for the Applied Machine Learning (AML) production engineering team in Singapore. The role offers hands-on experience with large-scale, distributed systems, mentorship from seasoned engineers, and opportunities to work on real-world challenges that impact millions of users globally.

As an intern, you will develop skills in coding, performance analysis, and system operations, with onboarding planned for end of 2027.

Qualifications

  • Pursuing an Undergraduate/Master's in computing or a related discipline.
  • Solid understanding of fundamental data structures and algorithms.
  • Foundational programming experience in Python, C++, or Go.
  • A keen interest in troubleshooting and analyzing distributed systems.
  • Strong problem-solving skills and the ability to learn quickly.
  • Familiarity with Linux/Unix operating systems is a plus.
  • Exposure to containerization technologies like Docker and Kubernetes is a plus.

Responsibilities

  • Assisting in the design and development of software and tools to enhance system automation, monitoring, and operational efficiency.
  • Participating in troubleshooting and resolving system issues, analyzing root causes, and implementing preventative measures.
  • Contributing to the enhancement of existing software by updating capabilities and supporting testing and validation procedures.
  • Collaborating with software and hardware engineers to understand system requirements and contribute to performance improvements.
  • Learning and applying principles of computer science, engineering, and mathematical analysis to solve real-world problems.

Job description

ByteDance is seeking an intern for the Applied Machine Learning (AML) production engineering team in Singapore. The role offers hands-on experience with large-scale, distributed systems, mentorship from seasoned engineers, and opportunities to work on real-world challenges that impact millions of users globally.

As an intern, you will develop skills in coding, performance analysis, and system operations, with onboarding planned for end of 2027.

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