Applied Machine Learning Production Engineer Intern (AML-Production Engineer) - 2027 Summer

The production engineering team for the Applied Machine Learning (AML) organization is at the heart of what we do. We are a global team of engineers who blend deep systems knowledge with software engineering to build and run the large-scale, distributed systems that power our machine learning products. Our mission is to ensure that ByteDance's core machine learning services are reliable, scalable, and efficient. As a production engineer intern, you will be immersed in a fast-paced, high-impact environment. You will have the opportunity to work on real-world challenges, receive mentorship from experienced engineers, and contribute to systems that serve millions of users worldwide. This is a unique chance to develop your skills in coding, performance analysis, and large-scale system operations.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

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.Minimum Qualifications:
• Must be able to commit to a 12-week full-time work.
• Currently pursuing a Undergraduate/ Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid understanding of fundamental data structures and algorithms.
• Foundational programming experience in at least one language, such as Python, C++, or Go.
• A keen interest in troubleshooting and analyzing distributed systems.
• Strong problem-solving skills and the ability to learn quickly.

Preferred Qualifications:

• Previous internship experience in a related field is a plus, but not required.
• Familiarity with Linux/Unix operating systems.
• Basic understanding of networking concepts (e.g., TCP/IP, HTTP).
• Exposure to containerization technologies like Docker and Kubernetes.
• Experience with Machine Learning frameworks like TensorFlow or PyTorch is a bonus.