The Seed Multimodal Interaction and World Model team is dedicated to developing models that have human-level multimodal understanding and interaction capabilities. The team is working to advance the exploration and development of multimodal assistant products.
Responsibilities
Support research and development of foundation models and systems.
Experiment with model improvements and evaluation methods.
Implement algorithms, models, or system components.
Collaborate with team members on research and engineering tasks.
Minimum Qualifications:
Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field.
Strong coding skills and understanding of data structures and algorithms, proficient in Python or C/C++.
Experience with machine learning or related areas through coursework, projects, or internships.
Preferred Qualifications:
Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.
Strong problem-solving and communication skills.
Numbers & Facts
Location
San Jose, CA
Skills
Algorithmsunmatched
Artificial Intelligence (AI)unmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
Communication Skillsunmatched
Computer Programmingunmatched
Computer Scienceunmatched
Conferencesunmatched
Data Structuresunmatched
Machine Learningunmatched
Mathematicsunmatched
Multimodal Interactionunmatched
Problem Solving Skillsunmatched
Product Developmentunmatched
Publicationsunmatched
Python Programming/Scripting Languageunmatched
Research & Development (R&D)unmatched
Research Skillsunmatched
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