Responsibilities: 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 our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. 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: - Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline, or a related 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 (Annually) The base salary range for this position in the selected city is $128000 - $256000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.