Student Researcher (Foundation Models - Reasoning, Planning & Agent- Doubao (PhD) Responsibilities This position is responsible for researching and building the company's LLMs. The role involves exploring new applications and solutions for related technologies in areas such as search, recommendation, advertising, content creation, and customer service. The goal is to meet the increasing demand for intelligent interactions from users and to significantly enhance their lifestyle and communication in the future. Responsibilities: Reasoning and planning for foundation models. Enhance reasoning and planning throughout the entire development process, encompassing data acquisition, model evaluation, pretraining, SFT, reward modeling, and reinforcement learning, to bolster overall performance. Synthesize large-scale, high-quality (multi-modal) data through methods such as rewriting, augmentation, and generation to improve the abilities of foundation models in various stages (pretraining, SFT, RLHF). Solve complex tasks via system 2 thinking, leverage advanced decoding strategies such as MCTS, A*. Investigate and implement robust evaluation methodologies to assess model performance at various stages, unravel the underlying mechanisms and sources of their abilities, and utilize this understanding to drive model improvements. Teach foundation models to use tools, interact with APIs and code interpreters. Build agents and multi-agents to solve complex tasks. Qualifications Minimum Qualifications: Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, or related technical field. Excellent knowledge of theory and practice of LLM and foundation model, as well as deep learning. Strong publication record at leading conferences (ACL, EMNLP, NeurIPS, ICML etc.). Excellent coding ability, familiar with data structures, and fundamental algorithm skills, proficient in C/C++ or Python. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. Preferred Qualifications: Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications. High levels of creativity and quick problem-solving capabilities. Job Information Compensation Description (Hourly) - Campus Intern: The hourly rate range for this position in the selected city is $57- $57. Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

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