About Us
Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join ByteDance
Inspiring creativity is at the core of ByteDance’s mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Positive team atmosphere, Career growth opportunity, Flat organization
Responsibilities
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.

• Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.
• 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.

Qualifications

Minimum 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.
• Familiarity with cloud-native technologies for log collection, monitoring, and alerting.

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.

• Manage and oversee the stability of both control and data aspects of large-scale model systems through effective DevOps practices.
• 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