Applied Machine Learning Production Engineer Graduate
ByteDance
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 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.
Key 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.
Requirements & Tech Stack
- Foundational programming experience in at least one language, such as Python, C++, or Go.
- Solid understanding of fundamental data structures and algorithms.
- A keen interest in troubleshooting and analyzing distributed systems.
- Strong problem-solving skills and the ability to learn quickly.
- Familiarity with Linux/Unix operating systems is a plus.
- Basic understanding of networking concepts (e.g., TCP/IP, HTTP) is a plus.
- Exposure to containerization technologies like Docker and Kubernetes is a plus.
- Experience with Machine Learning frameworks like TensorFlow or PyTorch is a bonus.
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.
- Previous internship experience in a related field is a plus, but not required.
Additional Information
- Candidates can apply to a maximum of two positions.
- Applications will be reviewed on a rolling basis.
- Please state your availability and graduation date clearly in your resume.