What you'd do
- Drive research on temporal segmentation,multi-hour context,structured outputs,and training strategies.
- Design rigorous experiments and evaluation methods for complex multimodal problems with ambiguous ground truth.
- Strengthen the team's research approach by helping reframe problems,sharpen hypotheses,and raise the bar for experimental rigor.
What they want
- Research experience in video understanding (multimodal LLMs,distributed training,temporal modeling,vision-language systems).
- Track record driving research on technically ambiguous problems with projects or publications.
- Proficient in Python and PyTorch for machine learning development and research.
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Nice to have
- Multimodal systems experience with video,vision,language,or structured outputs.
- Experience improving model quality through data curation,evaluation design,or training data enhancements.
- Experience with large-scale distributed training in high-performance GPU environments.
Seoulstart's read
- Visa tier (likely)
- E-7 specialty / professional (likely)
- Korean language
- Korean not required
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