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.<br/>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.<br/><br/>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.<br/>Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.<br/>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.<br/>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.<br/><br/>Responsibilities:<br/>- Assisting in the design and development of software and tools to enhance system automation, monitoring, and operational efficiency.<br/>- Participating in troubleshooting and resolving system issues, analyzing root causes, and implementing preventative measures.<br/>- Contributing to the enhancement of existing software by updating capabilities and supporting testing and validation procedures.<br/>- Collaborating with software and hardware engineers to understand system requirements and contribute to performance improvements.<br/>- Learning and applying principles of computer science, engineering, and mathematical analysis to solve real-world problems.<br/><br/> annually.<br/>