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LA

Superintelligence Lab - Tech Lead (Agentic Search, Staff / Principal Level)

LG AI Research
๐Ÿ‡ฐ๐Ÿ‡ท South Korea
On-site
Staff / Principal
49 months ago

About the Role

์šฐ๋ฆฌ๋Š” ์‚ฌ์šฉ์ž์˜ ์˜๋„๋ฅผ ์ดํ•ดํ•˜๊ณ , ํ•„์š”ํ•œ ์ •๋ณด๋ฅผ ํƒ์ƒ‰ยท๊ฒ€์ฆยท์ข…ํ•ฉํ•˜์—ฌ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฒฐ๊ณผ๋ฅผ ๋งŒ๋“ค์–ด๋‚ด๋Š” agentic search system์„ ๊ตฌ์ถ•ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํ˜์‹ ์ ์ธ retriever ํ•™์Šต, agentic ์‹œ์Šคํ…œ ์„ค๊ณ„, memory/context ์ตœ์ ํ™”, orchestrator RLํ•™์Šต, evaluation, inference efficiency๊นŒ์ง€ ์ „์ฒด ๊ธฐ์ˆ  ๋ฐฉํ–ฅ๊ณผ ํ”„๋กœ์ ํŠธ๋ฅผ ์ด๋„๋Š” Senior Tech Lead ํฌ์ง€์…˜์ž…๋‹ˆ๋‹ค.

Staff / Principal-level MTS๋กœ์„œ ์žฅ๊ธฐ์ ์ธ ๋น„์ „๊ณผ ๊ธฐ์ˆ  ์ปดํฌ๋„ŒํŠธ๋ฅผ ์ •์˜ํ•˜๊ณ  ์—ฌ๋Ÿฌ ์ปดํฌ๋„ŒํŠธ ์‚ฌ์ด๋ฅผ ์ •๋ ฌํ•˜๊ธฐ ์œ„ํ•œ ํ•ต์‹ฌ ์˜์‚ฌ๊ฒฐ์ •์„ ๋‚ด๋ฆด ์ˆ˜ ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. Research outcome์„ production-grade ์„œ๋น„์Šค๋กœ ๋ฐœ์ „์‹œํ‚ค๊ณ , ์กฐ์ง์˜ engineering ๋ฐ research standard๋ฅผ ์„ฑ์žฅ์‹œ์ผœ ์ฐจ์„ธ๋Œ€ Tech Lead๋“ค์„ ์œก์„ฑํ•˜๋Š” ์ฑ…์ž„๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

ย 

What Youโ€™ll Do

  • Set the technical vision and roadmap for end-to-end Agentic Search.
  • Lead execution from foundational research through production deployment.
  • Advance retrieval across sparse/dense/hybrid, reranking, and learning-to-retrieve systems.
  • Co-design modelโ€“system interfaces spanning search, memory, planning, tool use, and orchestration.
  • Develop RL and learning-based methods for search policies, routing, and orchestrator behavior.
  • Build rigorous evals for retrieval, grounding, citations, tool use, and long-horizon task completion.
  • Optimize quality, latency, throughput, and inference cost across the full search stack.
  • Provide technical leadership across Research, Engineering, Infrastructure, and Product.
  • Mentor senior technical talent and raise the bar for architecture, research, and execution.

You Might Thrive in This Role If You Have

  • Deep expertise across the full search stack, beyond dense retrieval.
  • Experience building agentic systems, memory systems, or learned orchestrators.
  • Applied RL or sequential decision-making to search, agents, or tool use.
  • Built end-to-end evaluation systems combining offline evals, online experiments, and production telemetry.
  • Scaled ML systems under demanding quality, latency, reliability, and cost constraints.
  • Shipped research breakthroughs as reliable, production-grade capabilities.
  • Led high-impact technical programs across multiple teams and disciplines.
  • A first-principles mindset and strong Staff / Principal-level technical judgment.

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์ „ํ˜• ์ ˆ์ฐจ

  • Application Review โ†’ Coding Test โ†’ Technical Interview (Online) โ†’ Culture Fit Interview (Onsite)

* ย ์ „ํ˜• ์ ˆ์ฐจ๋Š” ๋ณ€๊ฒฝ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์„œ๋ฅ˜ ํ•ฉ๊ฒฉ ์‹œ ์ „ํ˜• ์ ˆ์ฐจ์— ๋Œ€ํ•ด ๋ณ„๋„๋กœ ์•ˆ๋‚ด ํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

Superintelligence Lab - Tech Lead (Agentic Search, Staff / Principal Level) ยท LG AI Research

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