Machine Learning System Engineer Graduate (AML) - 2026 Start (PhD)

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.

• Research Project on Large-scale recommendation systems
• Other Engineering research directions such as multimodal, high performance inference engine/training framework
• Algorithmic research directions such as search/recommendation/ranking

• Holds a doctoral degree, with preference for candidates majoring in Computer Science, Software Engineering, or related fields.
• Proficiency in 1 or more programming languages such as C/C++/Go/Python/Java in a Linux environment;
• Deep understanding of distributed system principles, with experience in designing, developing, and maintaining large-scale distributed systems;
• Possess excellent logical analysis skills, able to abstract and decompose complex business logic effectively, with a collaborative team spirit;
• Strong sense of responsibility, with good learning ability, communication skills, and self-motivation;
• Good habits in technical documentation, including timely writing and updating of work processes and technical docs as required.

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

Team Introduction Data AML is ByteDance's machine learning middle platform, providing training and inference systems for recommendation, advertising, CV (computer vision), speech, and NLP (natural language processing) across businesses such as Douyin, Toutiao, and Xigua Video.

AML provides powerful machine learning computing capabilities to internal business units and conducts research on general and innovative algorithms to solve key business challenges. Additionally, through Volcano Engine, it delivers core machine learning and recommendation system capabilities to external enterprise clients.

Beyond business applications, AML is also engaged in cutting-edge research in areas such as AI for Science and scientific computing.