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Data Engineer
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Cornerstone University Grand Rapids, United States Part timeQualifications SUMMARY: The individual in this position is responsible for assisting in some aspects of the Cornerstone University Women's Soccer program. This may include but is not limited to recruiting, scheduling, training, monitoring academic progress, fundraising and coachi ...
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Model Based Systems Engineer
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Data Engineer Level II
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Structural Engineer
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Site Reliability Engineer, Ark Large Model Platform - Emory, United States - Tik Tok
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team.
Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About the Team
The Applied Machine Learning (AML) - Enterprise team provides machine learning platform products on VolcanoEngine with cloud native resource scheduling system which intelligently orchestrates different tasks and jobs with minimised costs of every experiment and maximised resource utilisation, rich modelling tools including customised machine learning tasks and web IDE, and multi-framework high performance model inference services.
In 2021, through VolcanoEngine, we released this machine learning infrastructure to the public, to provide more enterprises with reduced costs of computation power, lower barriers to machine learning engineering and deeper developments in AI capabilities.
Responsibilities
Responsible for Ark Large Model Platform development on Volcano Engine, researching systematic solutions on large model solution implementations and applications in various industries, striving to reduce the IT cost of large model applications, meeting the users' ever-growing demand for intelligent interaction and improving the lifestyle and communications of users in the future world.
Develop and enhance observability systems for monitoring the stability of large model systems, ensuring high reliability and performance.
Handle super large-scale cluster management and ensure efficient operation and maintenance of large model systems.
Basic Qualifications:
B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.
Minimum of 5 years of R&D experience in the fields of cloud computing or large-scale model systems.
Proficiency in cloud-native technologies and understanding of the relevant technology stack.
Expertise in one of the following programming languages: Golang, Python, or Java, with the ability to use it proficiently in a professional setting.
Preferred Qualifications:
Prior experience in the construction and maintenance of stability systems for large-scale infrastructures.
Experience in operating and maintaining large-scale systems.
Experience with infrastructure as code, particularly Terraform, is highly desirable.
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