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

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 (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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy

If you have any questions, please reach out to us at apac-earlycareers@bytedance.com

Job Information

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $115000 - $220000 annually.​

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​

For Los Angeles County (unincorporated) Candidates:​

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​