Responsibilitie

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.

Qualification

Minimum Qualifications: - Must be able to commit to a 12-week full-time work. - Currently pursuing a Bachelor'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.

Job Information

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $45- $45.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.