Role OverviewThe monetization technology team works on building and running large-scale, globally distributed, fault-tolerant ads systems. SREs keep the systems up and running with the highest level of availability, ensuring our users have the best experience possible. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
What You Will Do
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensure the reliability and operational excellence of offline machine learning training pipelines, drive infrastructure capacity planning and resource management for machine learning workloads, lead the enablement of new machine learning frameworks and GPU platforms, design, build, and maintain MLOps platforms and automation tools.
Why It Might Be a Fit
Candidates should have expertise in Linux operating systems, networking, storage, experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java, experience in troubleshooting application issues, or production operations, effective communication skills, and a sense of ownership and drive.
Requirements
- Currently pursuing a Bachelor’s degree in Computer Science or a related discipline.
- Expertise in Linux operating systems, networking, storage.
- Experience programming in at least one of the following programming languages: Python, Go, C, C++, or Java.
- Experience in troubleshooting application issues, or production operations.
- Effective communication skills and a sense of ownership and drive.
Benefits
- Hands-on experience
- Industry exposure
- Opportunities to apply knowledge to real-world challenges
- Social events
- Learning programs
- Development workshops
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