PhD Internship: Multimodal AI Researcher

Bytedance; San Jose (CA); On-site; USD 97,000 - 138,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Job summary

ByteDance's Seed team is seeking PhD interns to advance multimodal foundation models and related systems. You will conduct research, prototype algorithms, and collaborate with researchers to push the boundaries of multimodal understanding and interaction.

The internship emphasizes hands-on learning, professional development, and industry collaboration. Applicants should be pursuing a PhD and able to establish authorization to work in the United States.

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.

Responsibilities

• Conduct research on multimodal foundation models and related systems.
• Explore methods to improve model capabilities across modalities, including vision-language modeling, world modeling, and representation learning.
• Design and prototype algorithms, models, or system components.

Skills

Python

C/C++

Research

Education

PhD in Computer Science or related field

Job description

ByteDance's Seed team is seeking PhD interns to advance multimodal foundation models and related systems. You will conduct research, prototype algorithms, and collaborate with researchers to push the boundaries of multimodal understanding and interaction.

The internship emphasizes hands-on learning, professional development, and industry collaboration. Applicants should be pursuing a PhD and able to establish authorization to work in the United States.