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.
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:
Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.
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:
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.
Numbers & Facts
Location
San Jose, CA
Skills
Algorithmsunmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Constructionunmatched
Data Structuresunmatched
Deep Learningunmatched
Emerging Technologyunmatched
Machine Learningunmatched
Mathematicsunmatched
Memory Hardwareunmatched
Modeling Languagesunmatched
Onboardingunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Scientific Researchunmatched
Team Playerunmatched
Use Casesunmatched
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