Production Engineer Intern: Build Scalable ML Systems

ByteDance; San Jose (CA); On-site; USD 51,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick time

Housing allowance

Job summary

ByteDance is seeking a production engineering intern in San Jose for the Applied Machine Learning (AML) organization. You will join a global team blending systems knowledge with software engineering to run large-scale distributed systems powering ML services.

Expect mentorship, hands-on coding, performance analysis, and exposure to real-world challenges in a fast-paced environment. You will design and troubleshoot software for system automation, monitor operations, and contribute to testing and

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.

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.

Skills

Data structures & algorithms

Python

C++

Go

Distributed systems troubleshooting

Problem-solving

Education

Bachelor's in Software Development/CS/CE or related

Tools

Linux/Unix

Docker

Kubernetes

TensorFlow

PyTorch

Job description

ByteDance is seeking a production engineering intern in San Jose for the Applied Machine Learning (AML) organization. You will join a global team blending systems knowledge with software engineering to run large-scale distributed systems powering ML services.

Expect mentorship, hands-on coding, performance analysis, and exposure to real-world challenges in a fast-paced environment. You will design and troubleshoot software for system automation, monitor operations, and contribute to testing and