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

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut, and Pico, as well as platforms specific to the China market, such as Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

About the Role

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 internship offers hands-on experience, industry exposure, and opportunities to apply your knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Responsibilities

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

Requirements

• Must be able to commit to a 12-week full-time internship.
• Currently pursuing an Undergraduate or Master's degree 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.

Benefits

• Day one access to health insurance, life insurance, and wellbeing benefits.
• 10 paid holidays per year.
• Paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
• Eligibility for housing allowance if not working 100% remote.

Pay

The hourly rate range for this position is $45-$45.