Research Engineer Graduate (Seed-Infra-Machine Learning Sys Training-US) - 2026 Start (PhD)

Research Engineer Graduate (Seed-Infra-Machine Learning Sys Training-US) - 2026 Start (PhD)

Join to apply for the Research Engineer Graduate (Seed-Infra-Machine Learning Sys Training-US) - 2026 Start (PhD) role at ByteDance

The Seed-Infra team combines ML 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.

Responsibilities

The Seed-Infra team combines ML 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.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

The Main Work Directions Include :

• Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system.
• Covering various sub-directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration.
• Responsible for the research and introduction of advanced technologies in machine learning systems, such as the latest hardware architecture, heterogeneous computing systems, and compiler-based optimization technologies.
• Working closely with the algorithm teams to optimize the algorithm and system jointly.

Qualifications

Minimum Qualifications :

Preferred Qualifications :

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Compensation Description (Annually)

The base salary range for this position in the selected city is $129960 - $246240 annually.

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.

ByteDance 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.

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