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Site Reliability Engineer - Applied Machine Learning

Job in San Jose, Santa Clara County, California, 95111, USA
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
The mission of our AML team is to push next-generation recommendation-based algorithms and platform for the company. We also drive substantial impact for core businesses of the company. Currently we are looking for Site Reliability Engineers to join our team to support and advance that mission Responsibilities:

- 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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