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

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.

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.

Responsibilities

• 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