Student Researcher (Doubao (Seed) - LLM Post-training) - 2025 Start (PhD)

Beschreibung:

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. We are looking for talented individuals to join us for a Student Researcher opportunity in 2025. Student Researcher opportunities 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. The Student Researcher position provides unique opportunities that go beyond the constraints of our standard internship program, allowing for flexibility in duration, time commitment, and location of work. 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: - Reinforcement Learning from Human Feedback: Design advanced reinforcement learning algorithms for large language models by integrating technologies such as heuristic-guided search, multi-agent reinforcement learning, and other related techniques. - Reward modeling: Formulate a novel reward modeling methodology aimed at significantly enhancing robustness, improving generalization capabilities, and increasing overall accuracy. - Scalable Oversight: Develop scalable oversight mechanisms that enable efficient monitoring and control of LLMs as they grow in size and complexity, ensuring consistent alignment with predefined objectives. - Interpretability in LLMs: Focus on enhancing the interpretability of language models, ensuring that their decision-making processes and outputs are transparent and understandable to users and stakeholders

Ihr Profil:

Minimum Qualifications - Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, or related technical field. Excellent knowledge of theory and practice of Large Language Models, Reinforcement Learning, Natural Language Processing, Machine Learning. - Strong publication record at leading conferences (NeurIPS, ICML, ACL, EMNLP etc.). - Excellent coding ability, familiar with data structures, and fundamental algorithm skills, proficient in Python, winners of competitions such as ACM/ICPC, USACO/NOI/IOI, Top Coder, Kaggle, etc. are preferred. - Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. Preferred Qualifications - Demonstrated Deep Reinforcement Learning or Natural Language Processing, Machine Learning experience from previous internships, work experience, coding competitions, or publications. - High levels of creativity and quick problem-solving capabilities. 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