Student Researcher (Multimodal Interaction and World Model - Seed) – 2027 Start (PhD)

ByteDance

San Jose (CA)

On-site

USD 80,000 - 120,000

Full time

14 days+
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Job summary

ByteDance in San Jose, California is seeking a PhD candidate to conduct research on multimodal foundation models and improve model capabilities across vision-language and other modalities. Strong programming skills in Python or C/C++ and a research background in related fields are essential.

The ideal candidate should have experience in modeling and a proven ability to work independently in research environments. This role offers a chance to collaborate with a dynamic team and lead innovative research projects.

Qualifications

  • Currently pursuing a PhD in a relevant field.
  • Strong programming skills with Python or C/C++.
  • Demonstrated research track record with publications.

Responsibilities

  • Conduct research on multimodal foundation models and related systems.
  • Explore methods to improve model capabilities across modalities.
  • Collaborate with the team to advance research directions.

Skills

Strong programming skills
Algorithms and data structures
Research experience
Collaboration in research
Problem-solving ability

Education

PhD in computer science, mathematics, engineering, or a related field

Tools

Python
C/C++

Job description

Responsibilities
  • Conduct research on multimodal foundation models and related systems.
  • Explore methods to improve model capabilities across modalities, including areas such as vision-language modeling, world modeling, and representation learning.
  • Design and prototype algorithms, models, or system components.
  • Collaborate with the team to advance research directions.
Qualifications

Minimum Qualifications

  • Currently pursuing a PhD in computer science, mathematics, engineering, or a related field.
  • Strong programming skills and solid foundation in algorithms and data structures, proficient in Python or C/C++.
  • Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.

Preferred Qualifications

  • Experience in multimodal modeling, vision-language modeling, world modeling, simulation, or 3D representations. Experience with latent space modeling or structured representations is a plus.
  • Strong problem-solving ability and experience conducting independent research.
  • Ability to collaborate effectively in a research environment.
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