Production Engineer Intern: Large-Scale ML Systems

ByteDance; Singapore; On-site; SGD 17,000 - 25,000; Part time

Job summary

ByteDance in Singapore invites applications for a Production Engineering Intern in the Applied Machine Learning (AML) organization. You will join a global team building large-scale, distributed systems that power our ML services and learn to analyze performance, deploy tooling, and run operations at scale.

The internship offers mentorship from senior engineers and a chance to work on real-world challenges that impact millions of users worldwide.

Qualifications

• Currently pursuing an Undergraduate/Master's in computing.
• 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.

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.

Skills

Python

C++

Go

Distributed systems

Problem solving

Education

Undergraduate/Master's in computing

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

ByteDance in Singapore invites applications for a Production Engineering Intern in the Applied Machine Learning (AML) organization. You will join a global team building large-scale, distributed systems that power our ML services and learn to analyze performance, deploy tooling, and run operations at scale.

The internship offers mentorship from senior engineers and a chance to work on real-world challenges that impact millions of users worldwide.