ML Research Intern: Foundation Models & Multimodal AI (San Jose)

ByteDance

San Jose (CA)

Hybrid

USD 30,000 - 48,000

Part time

3 days ago
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Job summary

ByteDance's Seed team in San Jose invites a motivated student to join as a Research Engineering Intern. You will support research and development of foundation models and systems, experiment with model improvements, and implement algorithms with teammates.

We value strong coding skills (Python or C/C++) and coursework or projects in machine learning. This internship offers hands-on exposure to multimodal research within a global tech company.

Qualifications

  • 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.

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.

Skills

Python
C/C++
Data structures & algorithms
Machine learning basics

Education

Pursuing Bachelor's or Master's in CS/Math/Engineering

Job description

ByteDance's Seed team in San Jose invites a motivated student to join as a Research Engineering Intern. You will support research and development of foundation models and systems, experiment with model improvements, and implement algorithms with teammates.

We value strong coding skills (Python or C/C++) and coursework or projects in machine learning. This internship offers hands-on exposure to multimodal research within a global tech company.

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