The Seed Vision team focuses on foundational models for visual generation, developing multimodal generative models, and carrying out leading research and application development to solve fundamental computer vision challenges in GenAI.
Responsibilities
Develop and scale vision foundation models across image and video modalities.
Design data pipelines, pre-training strategies, and post-training methods for vision tasks.
Improve core capabilities such as perception, reasoning, and multimodal understanding.
Optimize model architectures, training efficiency, and evaluation frameworks.
Explore real-world applications of vision models in multimodal systems.
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 relevant areas.
Preferred Qualifications:
Experience with computer vision, multimodal learning, or machine learning through internships is preferred.
Strong problem-solving and communication skills.
Numbers & Facts
Location
San Jose, CA
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Skills
Algorithmsunmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Computer Skillsunmatched
Computer Visionunmatched
Data Managementunmatched
Data Structuresunmatched
Machine Learningunmatched
Mathematicsunmatched
Onboardingunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Scientific Researchunmatched
Software Developmentunmatched
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