Software Engineer Graduate (Applied Machine Learning - MLDev) - 2026 Start (BS/MS)

About this role

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.


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. Launch your career where inspiration is infinite at ByteDance.


Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.


Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.


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 MS 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 (Ten...