Large Model Algorithm Engineer Intern (Global Payment) - 2026 Start (BS/MS)

Job Description:

About Global Payment The International Payment Team (PIPO) is responsible for providing professional overseas payment and financial services for all of ByteDance's international businesses, and is committed to building a world-leading payment and financial technology platform. The LLM Algorithms Team is responsible for utilizing cutting-edge language and multimodal large model technologies to solve core issues such as user experience and operational efficiency, supporting the implementation of global international payment businesses including risk control, compliance, and credit. We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. 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 Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. We support credit-bearing internship registration, subject to the intern's school requirements and company approval. Successful candidates must be able to commit to either of the following Internships - From January to June (onboard by 12 Jan 2026) - From May to August (onboard by 11 May 2026) Responsibilities - Gain a deep understanding of business requirements, utilize various post-training technologies such as SFT, RLVR, and Agent RL to optimize the performance of models for information extraction, intent classification, tool calling, etc., in scenarios such as intelligent debt collection, intelligent customer service, AIOps, thereby raising the ceiling of business results. - Closely follow the latest research results in the LLM field, actively participate in the exploration and research of new businesses, and find the best solutions based on a full understanding of business scenarios

Candidate Requirements:

Minimum Qualifications: - Graduating with a master's degree or above, majoring in related fields such as artificial intelligence, computer science, pattern recognition, etc. - Possessing excellent programming skills, proficient in at least one programming language such as Python/C++, and proficient in at least one deep learning framework such as TensorFlow/PyTorch. - Familiar with common model structures such as Attention, Transformer, BERT, GPT, and familiar with the principles and implementation of open-source large models such as LLaMA, ChatGLM. Priority will be given to those with experience in fine-tuning and training open-source models. - Excellent ability to analyze and solve problems, passionate about solving challenging problems, and good communication and teamwork skills. Preferred Qualifications: - Quality papers published, competition awards, or project experience related to NLP, CV, data processing, etc. - Those with experience in fine-tuning and training open-source models such as Qwen and LLaMA. - Winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, and Kaggle 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