8 часов назад
AI Research Scientist (LLM Efficiency)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist (LLM Efficiency): Leading model-efficiency and post-training research for Jockey Core with an accent on model compression, quantization, and distillation. Focus on building reasoning models that maintain high quality at production-efficient sizes and translating research advances into real-world agentic systems.
Company
is a global AI company building the intelligence layer for video, enabling multimodal models to understand video across sight, sound, and motion.
What you will do
- Drive model compression and efficiency research, including structured pruning, quantization, and distillation.
- Design rigorous evaluations for agent reasoning and tool-calling behavior using real-world traffic.
- Explore post-training techniques like SFT and RL to improve agentic tool-use.
- Collaborate with serving engineers to translate research findings into production-ready cost and latency wins.
- Set research direction for the Cognition Models team to optimize the Jockey Core reasoning LLM.
Requirements
- Location: Must be based in Seoul, South Korea (Hybrid role)
- Strong LLM research experience in post-training, model compression, or efficient inference.
- Proficiency in Python and PyTorch.
- Track record of independently driving research from ideation to execution.
- Ability to communicate and collaborate effectively across research and engineering teams.
Nice to have
- Hands-on experience with pruning, quantizing, or distilling large models.
- Experience with large-scale distributed training in high-performance GPU environments.
- Experience translating research advances into production ML systems.
- Master's or PhD in Machine Learning, Computer Science, or a related field.
Culture & Benefits
- Global team environment with opportunities for growth.
- Hybrid work model with autonomy and collaboration.
- Annual self-development budget of 1.4 million KRW for courses and conferences.
- Unlimited LLM token support for technical staff.
- Corporate card with 7.2 million KRW annual allowance for meals and transportation.
- Comprehensive wellness benefits including health checkups, insurance, and holiday breaks.
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