{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Job: Research Scientist - Chemical Agentic AI","description":"LG AI Research (EXAONE) job signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a","json_url":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a/signal.json","generated_at":"2026-06-11T03:17:32.892228+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a","signal_json":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a/signal.json","source":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/hiring","topic_signals_json":"https://onlylabs.fyi/topics/hiring/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/hiring/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) opened Research Scientist - Chemical Agentic AI (Gangseo-gu, Seoul, South Korea). This hiring signal is demand evidence for teams, locations, and technical bets being staffed. High-signal details: location Gangseo-gu, Seoul, South Korea · Routine job opening at LG AI. onlylabs links this event to 1 captured evidence page and 6 related job signals.","signal_desk":"hiring","source_context":{"source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","source_host":"job-boards.greenhouse.io","occurred_at":"2026-04-29T14:36:04+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at","context":"Gangseo-gu, Seoul, South Korea"},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"hiring","source":"signal"},{"label":"Source host","value":"job-boards.greenhouse.io","source":"source"},{"label":"Location","value":"Gangseo-gu, Seoul, South Korea","source":"signal"},{"label":"ATS","value":"greenhouse","source":"source"},{"label":"Notability","value":"Routine job opening at LG AI","source":"signal"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:17:32.892228+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/hiring/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/hiring/feed.xml?category=neolab","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn open roles into leading indicators for teams, locations, infrastructure needs, eval work, data demand, and commercialization buildout.","evidence_focus":["role title","team or function","location","job description","data, eval, infra, safety, product, and GTM terms"],"extraction_questions":["Which teams are hiring repeatedly?","Which locations or hubs are becoming more important?","Which roles imply data, evaluation, infrastructure, or platform spend?","Which labs have hiring signals without a fresh standing analysis?"],"signal_questions":["What demand signal does this role create for teams, locations, infrastructure, evals, or data workflows?","Which teams are hiring repeatedly?","Which locations or hubs are becoming more important?","Do the 6 related job signals show a repeated pattern?"],"output_fields":["org","team","location","role_theme","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a/signal.json","required":true},{"label":"source","url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/hiring/signals.json?category=neolab","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze LG AI Research (EXAONE)'s job signal \"Research Scientist - Chemical Agentic AI\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"opened","object":"role Research Scientist - Chemical Agentic AI","text":"LG AI Research (EXAONE) opened role Research Scientist - Chemical Agentic AI."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"is classified as","object":"job signal","text":"Research Scientist - Chemical Agentic AI is classified as job signal."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"belongs to","object":"hiring desk","text":"Research Scientist - Chemical Agentic AI belongs to hiring desk."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has context","object":"Gangseo-gu, Seoul, South Korea","text":"Research Scientist - Chemical Agentic AI has context Gangseo-gu, Seoul, South Korea."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Research Scientist - Chemical Agentic AI has evidence coverage 1 captured evidence page."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has captured page count","object":"1","text":"Research Scientist - Chemical Agentic AI has captured page count 1."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has readable page count","object":"1","text":"Research Scientist - Chemical Agentic AI has readable page count 1."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has related signal count","object":"6","text":"Research Scientist - Chemical Agentic AI has related signal count 6."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has analysis playbook objective","object":"Turn open roles into leading indicators for teams, locations, infrastructure needs, eval work, data demand, and commercialization buildout.","text":"Research Scientist - Chemical Agentic AI has analysis playbook objective Turn open roles into leading indicators for teams, locations, infrastructure needs, eval work, data demand, and commercialization buildout.."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has source host","object":"job-boards.greenhouse.io","text":"Research Scientist - Chemical Agentic AI has source host job-boards.greenhouse.io."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"Research Scientist - Chemical Agentic AI has lab LG AI Research (EXAONE)."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has signal desk","object":"hiring","text":"Research Scientist - Chemical Agentic AI has signal desk hiring."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has source host","object":"job-boards.greenhouse.io","text":"Research Scientist - Chemical Agentic AI has source host job-boards.greenhouse.io."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has location","object":"Gangseo-gu, Seoul, South Korea","text":"Research Scientist - Chemical Agentic AI has location Gangseo-gu, Seoul, South Korea."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has ats","object":"greenhouse","text":"Research Scientist - Chemical Agentic AI has ats greenhouse."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has notability","object":"Routine job opening at LG AI","text":"Research Scientist - Chemical Agentic AI has notability Routine job opening at LG AI."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has watch term","object":"RL environments","text":"Research Scientist - Chemical Agentic AI has watch term RL environments."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has watch term","object":"Infrastructure","text":"Research Scientist - Chemical Agentic AI has watch term Infrastructure."}]},"intelligence":{"signal_desk":"hiring","answer":"LG AI Research (EXAONE) opened Research Scientist - Chemical Agentic AI (Gangseo-gu, Seoul, South Korea). This hiring signal is demand evidence for teams, locations, and technical bets being staffed. High-signal details: location Gangseo-gu, Seoul, South Korea · Routine job opening at LG AI. onlylabs links this event to 1 captured evidence page and 6 related job signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"opened","object":"role Research Scientist - Chemical Agentic AI","text":"LG AI Research (EXAONE) opened role Research Scientist - Chemical Agentic AI."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"is classified as","object":"job signal","text":"Research Scientist - Chemical Agentic AI is classified as job signal."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"belongs to","object":"hiring desk","text":"Research Scientist - Chemical Agentic AI belongs to hiring desk."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has context","object":"Gangseo-gu, Seoul, South Korea","text":"Research Scientist - Chemical Agentic AI has context Gangseo-gu, Seoul, South Korea."},{"subject":"Research Scientist - Chemical Agentic AI","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Research Scientist - Chemical Agentic AI has evidence coverage 1 captured evidence page."}]},"signal":{"id":"b2ff4437-92bd-4b14-ace8-6a2973d5894a","url":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a","json_url":"https://onlylabs.fyi/signals/b2ff4437-92bd-4b14-ace8-6a2973d5894a/signal.json","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","title":"Research Scientist - Chemical Agentic AI","summary":"LG AI Research (EXAONE) opened a hiring signal. onlylabs watches roles as demand indicators for teams, locations, and technical bets.","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-04-29T14:36:04+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005"]},"facets":{"location":"Gangseo-gu, Seoul, South Korea","ats":"greenhouse"},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","final_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","title":"Research Scientist - Chemical Agentic AI","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:17:32.892228+00:00","bytes":41409,"raw_path":"72dd22d43c8b5863c538a4bc8c1acde089d462cf60c2263c5c1c920d09f8e975.html","content_hash":"713c312bbfbb959a20e35f058bbde2366e1a8247f08a4fd9b35bb0a988f411e9","excerpt_chars":1200,"truncated":true,"excerpt":"LG AI Research의 Research Scientist - Chemical Agentic AI 직무 입사 지원서 채용 정보로 돌아가기 Research Scientist - Chemical Agentic AI Gangseo-gu, Seoul, South Korea Apply 팀 소개 Materials Intelligence Lab은 가장 최신의 AI기술로, 화학/소재 분야의 연구를 혁신합니다. Scientific Knowledge와 연계하여 최신 AI 기술을 연구하여, 오랜 시간과 자원 투입이 필요한 소재 개발 연구를 앞당길 수 있는 플랫폼을 만들어갑니다. LG 전 계열사 및 세계 유수 기관과의 열린 협업체계를 구축하고 있습니다. 수행 업무 Molecular/Scientific discovery 자동화를 위한 LLM 기반 에이전트 시스템 연구 및 개발 Scientific Tools (분자 물성 예측, 역합성, Molecular/Reaction search, Scientific Knowledge Extraction, AutoML Tooling 등)를 통합, Planning, Orchestration 및 최적화하는 워크플로우 설계 과학 문헌으로부터 데이터 추출 및 전처리, 분자 물성 예측을 위한 ML 모델의 학습·평가 및 자동 Finetuning을 포함한 AutoML 시스템 구축 주요 연구 분야 : Multi-modal Learning, Large language models, Graph representation learning, AutoML, Generative Models, Reinforcement Learning 지원자격 관련 분야 석사 또는 박사 학위 소지 Deep Learning/Machine Learning 알고리즘 연구/개발 경험 보유 우대사항 Deep Learning/Machine Learning을 활용한 경력 PyTorch등 Machine Learning Framework 활용 능력 새로운 ML/DL Architecture 및 알고리즘/방법론의 설계/구현 경험 전공 컴퓨터공학, 전산학, 전자공학, 산업공학, 기계공학, 화학공학, 재료공학, 생명공학, 물리학, 화학, 생물학 전형 절차 서류심사 → 코딩테스트 & LG Way Fit Test (온라인 인성검사) → 1차 기술 인터뷰 (온라인) → 최종 인터뷰 (오프라인) * 전형 절차는 변경될 수 있습니다. 서류 합격 시 전형 절차에 대해..."},"evidence_pages":[{"url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","final_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4623079005","title":"Research Scientist - Chemical Agentic AI","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:17:32.892228+00:00","bytes":41409,"raw_path":"72dd22d43c8b5863c538a4bc8c1acde089d462cf60c2263c5c1c920d09f8e975.html","content_hash":"713c312bbfbb959a20e35f058bbde2366e1a8247f08a4fd9b35bb0a988f411e9","excerpt_chars":1200,"truncated":true,"excerpt":"LG AI Research의 Research Scientist - Chemical Agentic AI 직무 입사 지원서 채용 정보로 돌아가기 Research Scientist - Chemical Agentic AI Gangseo-gu, Seoul, South Korea Apply 팀 소개 Materials Intelligence Lab은 가장 최신의 AI기술로, 화학/소재 분야의 연구를 혁신합니다. Scientific Knowledge와 연계하여 최신 AI 기술을 연구하여, 오랜 시간과 자원 투입이 필요한 소재 개발 연구를 앞당길 수 있는 플랫폼을 만들어갑니다. LG 전 계열사 및 세계 유수 기관과의 열린 협업체계를 구축하고 있습니다. 수행 업무 Molecular/Scientific discovery 자동화를 위한 LLM 기반 에이전트 시스템 연구 및 개발 Scientific Tools (분자 물성 예측, 역합성, Molecular/Reaction search, Scientific Knowledge Extraction, AutoML Tooling 등)를 통합, Planning, Orchestration 및 최적화하는 워크플로우 설계 과학 문헌으로부터 데이터 추출 및 전처리, 분자 물성 예측을 위한 ML 모델의 학습·평가 및 자동 Finetuning을 포함한 AutoML 시스템 구축 주요 연구 분야 : Multi-modal Learning, Large language models, Graph representation learning, AutoML, Generative Models, Reinforcement Learning 지원자격 관련 분야 석사 또는 박사 학위 소지 Deep Learning/Machine Learning 알고리즘 연구/개발 경험 보유 우대사항 Deep Learning/Machine Learning을 활용한 경력 PyTorch등 Machine Learning Framework 활용 능력 새로운 ML/DL Architecture 및 알고리즘/방법론의 설계/구현 경험 전공 컴퓨터공학, 전산학, 전자공학, 산업공학, 기계공학, 화학공학, 재료공학, 생명공학, 물리학, 화학, 생물학 전형 절차 서류심사 → 코딩테스트 & LG Way Fit Test (온라인 인성검사) → 1차 기술 인터뷰 (온라인) → 최종 인터뷰 (오프라인) * 전형 절차는 변경될 수 있습니다. 서류 합격 시 전형 절차에 대해..."}],"related_signals":[{"id":"1ad9621c-3161-4f7e-86b7-c36a60f48656","url":"https://onlylabs.fyi/signals/1ad9621c-3161-4f7e-86b7-c36a60f48656","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4646683005","title":"(인재풀) Research Scientist Internship - Computer Vision","context":"Seoul, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-06-11T01:57:22+00:00","first_seen_at":"2026-06-11T07:01:00.214165+00:00","date_source":"greenhouse.updated_at"},{"id":"c1e1ac22-1054-42d1-a8d2-a7f1ddc6b7b3","url":"https://onlylabs.fyi/signals/c1e1ac22-1054-42d1-a8d2-a7f1ddc6b7b3","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4653405005","title":"Information Security Internship","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-06-10T13:20:06+00:00","first_seen_at":"2026-06-11T07:01:00.214165+00:00","date_source":"greenhouse.updated_at"},{"id":"60d340ff-51d1-4595-a4b4-d8d3c7658b7a","url":"https://onlylabs.fyi/signals/60d340ff-51d1-4595-a4b4-d8d3c7658b7a","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4699587005","title":"AI R&D Strategy & Planning Specialist (AI R&D 전략기획 담당자)","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-06-05T04:51:55+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at"},{"id":"2aba9634-e570-445c-9efb-e7ca2b392599","url":"https://onlylabs.fyi/signals/2aba9634-e570-445c-9efb-e7ca2b392599","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4700115005","title":"법무 행정업무 지원(계약직)","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-05-28T07:52:32+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at"},{"id":"16c990ae-e2e1-4e3a-bf33-7da1d33920d2","url":"https://onlylabs.fyi/signals/16c990ae-e2e1-4e3a-bf33-7da1d33920d2","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4179929005","title":"UX/UI Designer Internship","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-05-08T04:57:45+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at"},{"id":"75dac0a6-dd95-4d2b-a898-20e5f2044930","url":"https://onlylabs.fyi/signals/75dac0a6-dd95-4d2b-a898-20e5f2044930","source_url":"https://job-boards.greenhouse.io/lgairesearch/jobs/4693142005","title":"Robotics Evaluation & Benchmark Internship ","context":"Gangseo-gu, Seoul, South Korea","kind":{"key":"job_opened","label":"Job"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-05-07T09:02:44+00:00","first_seen_at":"2026-06-05T20:58:46.903695+00:00","date_source":"greenhouse.updated_at"}]}