Software Engineer Graduate (Applied Machine Learning - MLDev) - 2026 Start (PhD)

ByteDance

Responsibilities

About the team:

The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. We are looking for Software Engineer New Grads to join our team to support and advance that mission.

Responsibilities:

  • Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
  • Responsible for improving use-ability and flexibility of the machine learning infrastructure.
  • Responsible for improving the efficiency of model training and serving.

Qualifications

Minimum Qualifications:

  • Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
  • Have distributed system or other infrastructure system experience
  • CUDA, Compiler, AND/OR C++ experience
  • Computer architecture (CPUs, Memory Storage, microarchitecture, etc.), or hardware infrastructure experience
  • ML/Deep learning Frameworks: GPUs/TPUs along with Tensorflow/Pytorch

Preferred Qualifications:

  • Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch), experience on improving core machine learning infrastructure.
  • Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems.
  • Experience in developing and deploying large-scale systems(e.g. Monitoring, Analyzing, Troubleshooting, and Notification systems), strong understanding of code optimizing, routine task automation and failure self-healing, familiar with IaC technologies like Terraform/Ansible. [EffeciencyTool]
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Confirmed 4 hours ago. Posted 2 days ago.

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