Software Engineer Graduate; Applied Machine Learning - Orchestration MS

Software Engineer Graduate (Applied Machine Learning - Orchestration) - 2026 Start (MS)

Location:

San Jose

Team:

Technology

Employment Type:

Regular

Job Code:

A77988

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. Currently, we are looking for Software Engineers New Graduate 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 cessful 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 Byte Dance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
• Responsible for improving the machine learning infrastructure's usability, flexibility, and efficiency.
• Responsible for improving the workflow of model training and serving, data pipelines and resource management for multi-tenancy machine learning systems.
• Responsible for designing and developing key components of ML infrastructure

• Currently pursuing a MS in Software Development, Computer Science, Computer Engineering, or a related technical discipline
• Proficient in C/C++/Python/Golang, and have solid programming skills(e.g. algorithms and data structures)
• Familiar with deep learning frameworks (Tensor Flow/Pytorch)
• Ability to work independently and complete projects from beginning to end and in a timely manner
• Good communication and teamwork skills to clearly communicate technical concepts with other teammates

• Experience contributing to an open sourced machine learning framework (Tensor Flow/PyTorch), experience on improving core machine learning infrastructure.
• Experience in big data orchestration frameworks (e.g., K8s/Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems, experience in building solutions with AWS, GCP, Azures, OCI, Ali Cloud or other cloud services. [Scheduling]
• 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. [Effeciency Tool]

The base salary range for this position in the selected city is $118657 - $187200 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…