Research Engineer Intern

We are looking for talented individuals to join us for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025. 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 - Participate in the research and development of machine learning training frameworks for AML, serving various products across the company. - Participate in the abstraction, design, optimization, and implementation of underlying components of machine learning training frameworks. - Collaborate with the company's algorithm department to jointly optimize algorithms and systems for key projects. Minimum Qualifications - Currently pursuing a MS or above degree in computer science, software engineering, artificial intelligence, or related fields. - Proficiency in C/C++ and Python languages in the Linux environment. - Background knowledge and experience in at least one of the following areas: GPU programming, compilers, high-performance networks, distributed storage, cluster scheduling. - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications - Strong curiosity, excellent learning, and communication skills. - Experience with at least one machine learning framework (TensorFlow/PyTorch/MxNet or other self-developed frameworks).