<p>About The Team: LLM team is dedicated to advancing the next generation of LLMs and solving, fundamental challenges in LLM development. Our areas of focus include model pre-training, post-training, inference, memory capabilities, learning, interpretability and other related directions. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we explore methods to enhance applications through technological innovation. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. 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. Responsibilities - Explore large-scale models and optimize systems; - Data construction, instruction tuning, preference alignment, and model optimization; - Improving relevant model capabilities, such as reasoning, code, math etc; - In-depth research and exploration of future use cases.</p> <p>Minimum Qualifications - Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc. Preferred Qualifications - Experience with large-scale model training, deep learning and machine learning algorithms are preferred; - Candidates who have led influential projects or papers in the field of large-scale models are preferred; - Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application; - Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship or any immigration-related benefits.</p>