Research Scientist Graduate (Seed Model - LLM) - 2027 Start

About the team

The Seed LLM team is dedicated to advancing the next generation of LLMs and solving fundamental challenges in LLM development. Our areas of focus include model pretraining, posttraining, 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. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

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.

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.

Minimum Qualifications

• Individuals who are completing or have recently completed a BS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
• Demonstrated interest or project experience in LLM-related areas such as training, evaluation, or applications.

Preferred Qualifications

• Individuals who are completing or have recently completed a MS degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline.
• Experience with machine learning, deep learning, or large-scale models through internships is preferred.
• Strong problem analysis and problem-solving skills and good communication and collaboration skills, with the ability to learn quickly and work effectively in a team.