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Site Reliability Engineer - Applied Machine Learning
Job in
San Jose, Santa Clara County, California, 95111, USA
Listed on 2026-06-16
Listing for:
ByteDance
Full Time
position Listed on 2026-06-16
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- Site Reliability Engineering (SRE) of AML (Applied Machine Learning) team combines system engineering and the art of machine learning to develop and run massively distributed AI/recommendation system around the world.
- On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.
- SRE ensures that the very centric machine learning services at Byte Dance have the highest level of availability, as well as creating highly automated systems and pipelines.
Minimum Qualifications 1. Expertise in analyzing and troubleshooting distributed systems.
2. Bachelor/Master's degree in Computer Science, a related technical field involving software develop or systems engineering.
3. Experience programming in at least one of the following languages:
Python, C/C++ or Go. 4. With solid background of algorithms and data structures.
Preferred Qualifications:
1. Ability to design and maintain large-scale systems.
2. Strong understanding of code optimizing and routine tasks automation. 3. SRE experience on large scale distributed system.
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