Applied Machine Learning Orchestration Intern (AML) - 2026 Start (BS/MS)

Job Description:

Team Introduction Data AML is ByteDance's machine learning platform, providing recommendation/advertising/CV (Computer Vision)/speech/NLP (Natural Language Processing) training and inference systems for Bytedance businesses like Tiktok and Douyin. It empowers business partners with enormous ML computing power and ground-breaking algorithmic innovation. Additionally, it provides core capabilities of machine learning/recommendation systems to external enterprise customers via Volcano Engine/BytePlus. We are looking for talented individuals to join our team in 2026. As an intern, 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 - Distributed Orchestration & Scheduling by providing support on distributed deployment of services/model training and inference tasks) - Optimize allocation rate and resource operation efficiency globally and coordinate capacity of various heterogeneous resources (CPU/GPU/heterogeneous hardware/training data) - Participate in development of training-related requirements (incremental training and API for online learning) and enhance framework efficiency - Participate in offline-to-online synchronization, data consistency, and model-update timeliness optimization and handle traffic scheduling for heterogeneous resources

Candidate Requirements:

Minimum Qualifications: - Enrolled in a Bachelor's (or higher) degree program, graduating in 2027. - Proficient in at least one programming language (Go/Python preferred) in Linux; good programming habits and coding skills - Familiar with distributed system principles and open-source distributed scheduling frameworks - Strong sense of responsibility; good learning, communication skills, and self-motivated; quick to respond and act. Preferred Qualifications: - Experience in machine learning system practice - Experience in open-source ML orchestration frameworks (e.g. Ray/TFX/Kubeflow) - Bachelor (or higher) degree in computer science, software engineering, and related majors are preferred. 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