Software Engineer, ML System Architecture

at  ByteDance

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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.
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment, and enterprise services - over 2.5 billion people interact with ByteDance products, including TikTok
Why Join Us
Creation is the core of ByteDance’s purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That’s how we drive impact - for ourselves, our company, and the users we serve.
Join us.
Team Intro
The ByteDance Doubao Team is committed to developing the most advanced AI large model technology in the industry, becoming a world-class research team, and contributing to technological and social development. The Large Model Team has a long-term vision and determination in the field of AI, with research directions covering NLP, CV, speech, and other areas. Relying on the abundant data and computing resources of the platform, the team has continued to invest in relevant fields and has launched its own general large model, providing multi-modal capabilities.
The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI
In our team, you’ll have the opportunity to build the large scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You’ll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction.

MINIMUM QUALIFICATIONS:

1. Be proficient in 1 to 2 programming languages such as C++/Go/Python/Shell in Linux environment
2. Understand the principles of distributed systems and have experience in design, development and maintenance of large-scale machine learning systems
3. Be familiar with Kubernetes architecture, and have rich experience in system-level development and tuning
   Preferred Qualifications
4. Familiar with the ML Infrastructure of Large Model training and inference
5. Experience in one of the following fields: AI Infrastructure, HW/SW Co-Design, High-Performance Computing, ML Hardware Architecture (GPU, Accelerators, Networking)
   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.
   ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
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1. Responsible for the design and development of Machine Learning infrastructure for LLM/AIGC, etc
2. Build up a super large machine learning system integrating GPUs, RDMA networking, and high-performance storage
3. Responsible for solving technical problems such as high stability and availability of the system
4. Organize and coordinate multiple teams to complete the construction of the system, including Data center team, network team, computing team, storage team, resource team