What you'd do
- Contribute to training and experimentation of in-house LLMs deployed to real users using zeta service data
- Work on one or more of: global multi-language model training,Trillion-scale MoE model training and serving,real-user behavioral preference learning (RLHF and GDPO),or model evaluation methodology design
- Manage data collection,cleaning,training,and evaluation pipelines for model quality
What they want
- Understanding of machine learning and deep learning fundamentals with ability to define and approach problems
- Hands-on experience with the full deep learning pipeline from data cleaning through training,evaluation,and result verification
- Genuine interest in applying AI research to real products and improving user experience
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Nice to have
- Papers published at major AI conferences (NeurIPS,ICML,ICLR,ACL,EMNLP,etc.)
- Experience developing or operating AI features in live user-facing products
Seoulstart's read
- Visa tier (likely)
- Visa requirement not stated, verify with recruiter
- Korean language
- Native Korean fluency required
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