Match Group jobs in seoul south korea

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\uc788\uc73c\uc2e0 \ubd84 CS fundamentals(\uc6b4\uc601\uccb4\uc81c, \ub124\ud2b8\uc6cc\ud06c, \ucef4\ud4e8\ud130 \uc2dc\uc2a4\ud15c \uc544\ud0a4\ud14d\ucc98, \uc790\ub8cc\uad6c\uc870 \ubc0f \uc54c\uace0\ub9ac\uc998 \ub4f1)\uc5d0 \ub300\ud55c \ud0c4\ud0c4\ud55c \uae30\ubcf8\uc9c0\uc2dd\uc744 \ubcf4\uc720\ud558\uc2e0 \ubd84 Java(Kotlin), Python, Golang, JavaScript, Swift, C++, RUST \uc911 \ub450 \uac1c \uc774\uc0c1\uc758 \uc5b8\uc5b4\uc5d0 \ub300\ud55c \uae4a\uc740 \uc774\ud574\ub97c \ubc14\ud0d5\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uc5b8\uc5b4\ub97c \ubc1b\uc544\ub4e4\uc774\ub294\ub370 \uc5b4\ub824\uc6c0\uc774 \uc5c6\ub294 \ubd84 \ub2e4\uc591\ud55c \uac1c\ubc1c \uacbd\ud5d8\uc744 \ud1b5\ud574 \uc5ec\ub7ec \uc2a4\ud0dd\uc744 \ub118\ub098\ub4dc\ub294\uac78 \uc88b\uc544\ud558\uace0, \uc775\uc219\ud558\uc9c0 \uc54a\uc740 \ud658\uacbd\uc5d0 \ube60\ub974\uac8c \uc801\uc751\ud560 \uc218 \uc788\ub294 \ubd84 AWS, GCP, Azure \ub4f1 Public Cloud \ud658\uacbd\uc5d0\uc11c \uc778\ud504\ub77c\ub97c \uc124\uacc4, \uad6c\ucd95, \uc6b4\uc601\ud574 \ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 Kubernetes \ubc0f Docker \ub4f1 \ucee8\ud14c\uc774\ub108 \uae30\uc220\uc5d0 \ub300\ud55c \uae4a\uc740 \uc774\ud574\uc640 \uc6b4\uc601 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 ML/AI \uae30\uc220 \ubc0f MLOps \uc0dd\ud0dc\uacc4\uc5d0 \ub300\ud55c \uae30\ubcf8\uc801\uc778 \uc774\ud574\uc640 \uad00\uc2ec\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc720\uad00 \ubd80\uc11c(ML Engineer, Data Scientist \ub4f1)\uc640\uc758 \uc6d0\ud65c\ud55c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ubc0f \ud611\uc5c5 \ub2a5\ub825\uc744 \uac16\ucd94\uc2e0 \ubd84 \uc601\uc5b4\ub85c \ub4e3\uace0 \ub9d0\ud558\ub294\ub370 \ub450\ub824\uc6c0\uc774 \uc5c6\uc73c\uba70, \ud55c\uad6d\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud55c \ubd84 Argo Workflows, ArgoCD, Kubeflow, MLflow \ub4f1 MLOps \uc624\ud508\uc18c\uc2a4 \ud65c\uc6a9 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 NVIDIA Triton, 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\uc2a4\ucf00\uc904\ub9c1 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ub300\uc6a9\ub7c9 \ub370\uc774\ud130 \ucc98\ub9ac \ud30c\uc774\ud504\ub77c\uc778 (e.g., Spark, Airflow) \uad6c\ucd95 \ubc0f \uc6b4\uc601 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 ML Engineer\ub97c \uc704\ud55c SDK, CLI, \uac1c\ubc1c\uc790 \ud3ec\ud0c8 \ub4f1 \ub0b4\ubd80 \ub3c4\uad6c \uac1c\ubc1c \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 AWS Inferentia/Trainium \ub4f1 AI \uac00\uc18d\uae30 \ud65c\uc6a9 \ubc0f \ube44\uc6a9 \ucd5c\uc801\ud654 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 On-device \ud658\uacbd\uc5d0\uc11c \ub3d9\uc791\ud558\ub294 ML \ubaa8\ub378\uc744 \uc11c\ube59\ud558\uac70\ub098 \ucd5c\uc801\ud654\ud574 \ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38610732", "isPrivate": false}, {"id": 29378778, "name": "Corporate Counsel (Hyperconnect)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Match Group", "business_unit": "MG APAC", "t_update": 1765256469, "t_create": 1748422339, "ats_job_id": "347a3262-37fd-4e81-b7dd-0e319fb6e22a", "display_job_id": "R0004325", "type": "ATS", "id_locale": "R0004325-en", "job_description": "Match Group (NASDAQ: MTCH) is seeking a motivated and talented inhouse legal counsel to join the Match Group Asia Legal team. This role will provide legal support for our fast-evolving suite of apps and services, many of which stand at the forefront of the AI-revolution, as well as the international expansion of our flagship global platform designed to spark new connections across cultures and borders (Azar). This position will be based in Seoul, Korea and will provide day-to-day legal support to our global brands, from Azar and other novel Hyperconnect services, to supporting our portfolio of dating and social discovery apps under the Match Group umbrella (Tinder\u00ae, Match\u00ae, Meetic\u00ae, OkCupid\u00ae, Hinge\u00ae, Pairs\u2122, PlentyOfFish\u00ae, Slide, The League to name a few (www.mtch.com), each designed to help our users find meaningful connections. How you'll make an impact You will be part of a team to draft and negotiate various commercial agreements with and for our business partners across a global footprint (primarily focused on North Asia and the Middle East), including marketing, media buying and advertising, content creation and production, brand partnerships, distribution and business development, consulting and other operational and vendor agreements. You will work closely with global teams to support the localization and roll-out of product features and initiatives, whilst ensuring compliance with laws, political, cultural sensitivities and relevant regulations and practices. You will work closely and collaboratively with internal teams, including product, engineering, and other strategic functions (such as tax, accounting, privacy, security, and litigation) to identify and achieve desired business outcomes while minimizing legal risk. You will assist in administration of corporate policies and procedures, such as vendor security, privacy compliance and contract approval. We could be a Match if You have a law degree from an accredited law school and admission (or in-house eligibility) to practice law in South Korea, and/or US, or other notable Commonwealth jurisdictions; Minimum 2-3 years' PQE (post-qualifying experience), with top law firm and in-house legal department experience preferred; You're adept at advising on data/privacy protection, IP, digital media and consumer-facing and internet industries; You're effectively bilingual: in both Korean and English (business-level, both written and spoken); You show attention to detail and strong sense of ownership and accountability; You're strategic, and have a naturally business-friendly approach to legal problem-solving and are able to effectively provide clear, concise and practical advice, as well as creative solutions. (essentially, you want to find every possible way to get-to-a-Yes! ); You're naturally curious and possess a strong desire to learn the business and new areas of the law; You thrive in novel and potentially uncomfortable situations and are able to simultaneously manage multiple demands and shifting priorities within a fast-paced, and rapidly evolving environment;You bring a can-do attitude, and find it easy working collaboratively with others beyond legal: particularly, with our business and product stakeholders. $ - $ a year None HPCNT", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29378778", "isPrivate": false}, {"id": 29901520, "name": "Machine Learning Research Engineer (HYPERCONNECT AI | \uc804\ubb38\uc5f0\uad6c\uc694\uc6d0 \ud3b8\uc785/\uc804\uc9c1 \uac00\ub2a5)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Hyperconnect", "business_unit": "AI/ML", "t_update": 1765256469, "t_create": 1750968202, "ats_job_id": "5d4fe20e-3f1e-4137-baff-4eae04cd209e", "display_job_id": "R0004440", "type": "ATS", "id_locale": "R0004440-en", "job_description": "AI Lab\uc758 contents understadning \uc5c5\ubb34\uc5d0\uc11c\ub294 \uc601\uc0c1\uc774\ub098 \uc774\ubbf8\uc9c0, \uc74c\uc131 \ubc0f \uc790\uc5f0\uc5b4\ub85c \uad6c\uc131\ub41c \ube44\uc815\ud615 \ub370\uc774\ud130\ub97c \uc785\ub825\uc73c\ub85c \ubc1b\uc544 \ube44\uc988\ub2c8\uc2a4\uc5d0 \uc720\uc6a9\ud55c \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\ub294 \ub370 \uc9d1\uc911\ud558\uba70, \ubaa8\ub354\ub808\uc774\uc158\uc744 \ud1b5\ud55c \uc2e0\ub8b0\uc640 \uc548\uc804(Trust & Safety) \uc5c5\ubb34\uc5d0 \uae30\uc5ec\ud558\ub294 \uac83\uc744 \uc8fc \ubaa9\ud45c\ub85c \ud569\ub2c8\ub2e4(\uc778\ud130\ubdf0). \ud558\uc774\ud37c\ucee4\ub125\ud2b8 \ubc0f Match Group \ube0c\ub79c\ub4dc\uc5d0\uc11c \uc0dd\uc131\ub418\ub294 \ucee8\ud150\uce20\ub97c \uc774\ud574\ud558\ub294 \ub370 \uae30\uc5ec\ud558\uba70 \uae00\ub85c\ubc8c \uc2e0\ub8b0\uc640 \uc548\uc804 \uae30\uc900\uc744 \ucda9\uc871\ud558\uae30 \uc704\ud574 Match Group\uacfc \ud611\ub825\ud558\uc5ec \ub2e4\uc591\ud55c \uacfc\uc81c\ub97c \uc218\ud589\ud569\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 AI \ubb38\uc81c\ub4e4\uc744 \ub2e4\ub8e8\ub294 \ub370 \uad00\uc2ec\uc774 \ub9ce\uc2b5\ub2c8\ub2e4. - \ubaa8\ubc14\uc77c \ubc0f \uc6f9 \ud658\uacbd\uc5d0\uc11c \uc9e7\uc740 \ub808\uc774\ud134\uc2dc\uc640 \ub0ae\uc740 \uc804\ub825 \uc18c\ube44\ub97c \uc720\uc9c0\ud558\uba74\uc11c\ub3c4 \ub192\uc740 \uc815\ud655\ub3c4\ub97c \ub2ec\uc131\ud560 \uc218 \uc788\ub294 \uacbd\ub7c9 \ubaa8\ub378 \uc124\uacc4 \ubc0f \ucd5c\uc801\ud654 \uae30\ubc95 - noise\uc640 imbalance\uac00 \uc2ec\ud55c \ub370\uc774\ud130\uc5d0\uc11c \ub808\uc774\ube14 \ud488\uc9c8\uc744 \ucd94\uc801 \ubc0f \uad00\ub9ac\ud558\uace0, \ucd5c\uc18c\ud55c\uc758 \ub77c\ubca8\ub9c1\uc73c\ub85c \uc131\ub2a5\uc744 \ud655\ubcf4\ud558\uae30 \uc704\ud55c \uc561\ud2f0\ube0c \ub7ec\ub2dd, core-set selection, semi-/self-supervised \ud559\uc2b5 \ubc29\ubc95 - multi-task \ub610\ub294 multi-label \ubd84\ub958\ub97c \uc81c\ud55c\ub41c \ud30c\ub77c\ubbf8\ud130 budget \ub0b4\uc5d0\uc11c \ucd5c\uc801\ud654\ud558\uace0, \ud14d\uc2a4\ud2b8, \uc774\ubbf8\uc9c0, \uc601\uc0c1 \ub4f1 multi-modal \uc815\ubcf4\ub97c \ud1b5\ud569\ud558\ub294 \ubaa8\ub378\ub9c1 \uae30\ubc95 - \ub3c4\uba54\uc778 \uac04 \ubd84\ud3ec \ucc28\uc774\ub97c \uadf9\ubcf5\ud558\ub294 \ub3c4\uba54\uc778 \uc801\uc751, \uc11c\ube44\uc2a4 \ud655\uc7a5\uc131\uc744 \uc704\ud55c meta-learning \uae30\ubc95 - \uad6d\uc81c AI \uae30\uc900\uc744 \ub9de\ucd94\uae30 \uc704\ud55c Fairness \ubc0f Privacy \ubcf4\uc7a5\uc744 \uc704\ud55c \ud559\uc2b5 \ubc29\ubc95 - \uc0ac\uc6a9\uc790 \ud589\ub3d9 \ub85c\uadf8\uc640 \ucf58\ud150\uce20 \ubd84\uc11d \uc815\ubcf4\ub97c \ud65c\uc6a9\ud558\uc5ec \uc2a4\ud338, \uac00\uc9dc \uacc4\uc815 \ub4f1 \uc774\uc0c1 \ud589\uc704\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ud0d0\uc9c0\ud558\uac70\ub098 \uc0ac\uc804 \uc608\uce21\ud558\ub294 \uc2a4\ud2b8\ub9ac\ubc0d \uae30\ubc18 \ubaa8\ub378\ub9c1 - ML \ud504\ub85c\ub355\uc158 \ud504\ub85c\uc138\uc2a4\ub97c \ud601\uc2e0\ud558\uae30 \uc704\ud55c LLM \ud65c\uc6a9 \ubc29\ubc95 AI/ML \ub3c4\uba54\uc778 \uc804\ubc18\uc5d0 \ub300\ud55c \uc774\ud574\uc640 \uc801\uc5b4\ub3c4 \ud55c \uac1c \uc774\uc0c1\uc758 \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0 \ub300\ud55c \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uac16\ucd98 \ubd84 AI \uae30\uc220\uc758 \uc81c\ud488\ud654\uc5d0 \uad00\uc2ec\uc774 \ub9ce\uc73c\uc2e0 \ubd84 AI\ub97c \ud1b5\ud55c \ubb38\uc81c \ud574\uacb0 \uc5ed\ub7c9 \ubc0f \uc774\ub97c \uc704\ud55c \ud504\ub85c\uc81d\ud2b8 \uad00\ub9ac \uc5ed\ub7c9\uc744 \uac16\ucd98 \ubd84 Tensorflow, PyTorch, CatBoost, JAX \ub4f1 \uc624\ud508\uc18c\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \uae30\ubc18 \uac1c\ubc1c\uc5ed\ub7c9\uc744 \ud3ec\ud568\ud55c \ud30c\uc774\uc36c \uac1c\ubc1c\uc5ed\ub7c9\uc774 \ucda9\ubd84\ud558\uc2e0 \ubd84 \uac15\ud55c \uc624\ub108\uc27d\uc744 \ubc1c\ud718\ud574 \ud504\ub85c\uc81d\ud2b8\uc758 A-Z\ub97c \ucc45\uc784\uc9c0\uace0 \uc644\uc218\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 \uc5ec\ub7ec \uc9c1\uad70\uc758 \uc774\ud574\uad00\uacc4\uc790\uc640 \ud611\uc5c5\ud560 \uc218 \uc788\ub294 \uac15\ub825\ud55c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ub2a5\ub825\uc744 \uac16\ucd94\uc2e0 \ubd84 ML \uc2dc\uc2a4\ud15c\uc758 \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uac1c\ubc1c \uad6c\uc870\uc640 \ub0b4\uc6a9\uc744 \uc774\ud574\ud558\uace0 \uae30\ub2a5\uc744 \uae30\ud68d\ud560 \uc218 \uc788\ub294 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc5ed\ub7c9\uc774 \uc788\ub294 \ubd84 \ub370\uc774\ud130\uc758 \ud1b5\uacc4\uc801 \ud2b9\uc131\uacfc \ud328\ud134\uc744 \ubc1c\uacac\ud558\uace0 \uc774\ub97c AI \ubb38\uc81c \ud574\uacb0\uc5d0 \ubc18\uc601\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 A/B \ud14c\uc2a4\ud2b8\uc5d0 \ub300\ud55c \uc774\ud574\ub97c \uac16\ucd94\uace0 SQL \uae30\ubc18\uc758 \ub370\uc774\ud130 \ubd84\uc11d \uc5ed\ub7c9\uc744 \uac16\ucd98 \ubd84 \ud559\uc704\ub098 \uad6d\uc801\uc740 \ubb34\uad00\ud558\ub418 \ud55c\uad6d\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud55c \ubd84 \uae30\uacc4\ud559\uc2b5 \uad00\ub828 \ud0d1\ud2f0\uc5b4 \ud559\ud68c \ubc0f \uc800\ub110(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD,  ) \uac8c\uc7ac \uc2e4\uc801 \ud639\uc740 AI \uad00\ub828 \ub300\ud68c \uc218\uc0c1 \uc2e4\uc801\uc774 \uc788\uc73c\uc2e0 \ubd84 AI/ML \ub3c4\uba54\uc778 \uc804\ubc18\uc5d0 \ub300\ud55c \ubc29\ub300\ud55c \uc9c0\uc2dd\uc744 \uc790\ub791\ud560 \uc218 \uc788\uc73c\uc2e0 \ubd84 \uc2e4\uc81c \uc11c\ube44\uc2a4\uc5d0 AI \uae30\uc220\uc744 \ud1b5\ud569\ud558\uace0 \uc8fc\uc694 \uc9c0\ud45c\ub97c \uc720\uc758\ubbf8\ud558\uac8c \ud5a5\uc0c1\uc2dc\ucf1c \ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 PO/PM \ud639\uc740 \uadf8\uc5d0 \uc900\ud558\ub294 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc601\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud558\uc2e0 \ubd84 \uc778\uacfc\uad00\uacc4 \ubd84\uc11d(DID, RCT, Causal Inference \ub4f1), \ub2e4\ubcc0\ub7c9 \ud14c\uc2a4\ud2b8, Sequential Testing \ub4f1\uc5d0 \ub300\ud55c \uc774\ud574\uac00 \uae4a\uc73c\uc2e0 \ubd84", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29901520", "isPrivate": false}, {"id": 30029464, "name": "Machine Learning Engineer (Match Group AI | \uc804\ubb38\uc5f0\uad6c\uc694\uc6d0 \ud3b8\uc785/\uc804\uc9c1 \uac00\ub2a5)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Match Group", "business_unit": "MG APAC", "t_update": 1765256469, "t_create": 1751278761, "ats_job_id": "edf748a7-a883-4fef-8112-8cbfba14afa3", "display_job_id": "R0003401", "type": "ATS", "id_locale": "R0003401-en", "job_description": "-Legal Entity: Hyperconnect -Brand: Match Group AI Match Group AI \uc18c\uac1c Match Group AI\ub294 \uc628\ub77c\uc778 \ub370\uc774\ud305\uc758 \ud575\uc2ec \ubb38\uc81c\ub97c AI\ub85c \ud574\uacb0\ud558\ub294 \uc911\uc559 \uae30\uc220 \uc870\uc9c1\uc785\ub2c8\ub2e4. \ud504\ub85c\ud544, \ub9e4\uce6d, Trust & Safety \ub4f1 \uc0ac\uc6a9\uc790 \uacbd\ud5d8\uc758 \ud575\uc2ec \uc601\uc5ed\uc5d0 \uc9d1\uc911\ud574 \uacfc\uc81c\ub97c \ubc1c\uad74\ud569\ub2c8\ub2e4. \uc774\ub97c \ucd5c\uc2e0 AI \uae30\uc220\uacfc \ub370\uc774\ud130 \uae30\ubc18\uc758 \uc811\uadfc\uc744 \ud1b5\ud574 \ud574\uacb0\ud558\uc5ec \uc0ac\uc6a9\uc790 \uacbd\ud5d8\uc744 \ud601\uc2e0\ud569\ub2c8\ub2e4. \ub098\uc544\uac00 Tinder, Hinge \ub4f1 Match Group \ub0b4 \uae00\ub85c\ubc8c \ub370\uc774\ud305 \ube0c\ub79c\ub4dc\uc640\uc758 \ud611\uc5c5\uc744 \ubc14\ud0d5\uc73c\ub85c \uadf8\ub8f9 \uacf5\ud1b5 \uae30\uc220 \uae30\ubc18\uc744 \ud655\uc7a5\ud569\ub2c8\ub2e4. \ud300\uc5d0\uc11c \uc9c4\ud589 \uc911\uc778 \ud504\ub85c\uc81d\ud2b8\ub97c \ub354 \uc790\uc138\ud788 \uc54c\uace0 \uc2f6\uc73c\uc2dc\ub2e4\uba74, \ub2e4\uc74c \uac8c\uc2dc\uae00\uc744 \ud655\uc778\ud574\ubcf4\uc138\uc694. ? \"Match Group AI \ud300\uc744 \uc18c\uac1c\ud569\ub2c8\ub2e4.\" Match Group AI ML Team \uc18c\uac1c ML Team\uc740 Match Group\uc758 \ub2e4\uc591\ud55c \uc11c\ube44\uc2a4\uc5d0 AI/ML \uae30\uc220\uc744 \uc801\uc6a9\ud558\ub294 ML Engineer\ub85c \uad6c\uc131\ub41c \ud300\uc785\ub2c8\ub2e4. \ud300\uc758 \uc5c5\ubb34\ub294 \uc2e4\uc81c \uc81c\ud488\uc774 \ub9cc\ub4e4\uc5b4\uc9c0\uace0 \uc6b4\uc601\ub418\ub294 \uacfc\uc815\uc5d0\uc11c \ubc1c\uc0dd\ud558\ub294 \ubb38\uc81c\ub97c \ubc1c\uad74\ud558\uace0 \uc815\uc758\ud558\ub294 \uac83\uc5d0\uc11c \uc2dc\uc791\ub429\ub2c8\ub2e4. \ubb38\uc81c \ud574\uacb0\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c SotA(State-of-the-Art) \ubaa8\ub378\uc744 \uac1c\ubc1c\ud558\uac70\ub098 \uc7ac\ud604\ud558\uace0, \uc644\uc131\ub41c \ubaa8\ub378\uc744 \ubaa8\ubc14\uc77c\uacfc \uc11c\ubc84 \ud658\uacbd\uc5d0 \uc548\uc815\uc801\uc774\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \ubc30\ud3ec\ud569\ub2c8\ub2e4. \uc774\ud6c4\uc5d0\ub3c4 \uc9c0\uc18d\uc801\uc778 \ubaa8\ub2c8\ud130\ub9c1\uacfc \uac1c\uc120\uc744 \ud1b5\ud574 \uc11c\ube44\uc2a4\uc758 AI Flywheel\uc744 \uad6c\ucd95\ud574 \ub098\uac11\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ubc31\uc5d4\ub4dc/\ud504\ub860\ud2b8\uc5d4\ub4dc/DevOps \uc5d4\uc9c0\ub2c8\uc5b4, \ub370\uc774\ud130 \ubd84\uc11d\uac00, PM \ub4f1 \ub2e4\uc591\ud55c \uc804\ubb38 \uc870\uc9c1\uacfc \uae34\ubc00\ud788 \ud611\uc5c5\ud558\uba70 \uc2e4\uc81c \uc0ac\uc6a9\uc790\uc5d0\uac8c \uc784\ud329\ud2b8\ub97c \uc8fc\ub294 AI \uacbd\ud5d8\uc744 \ub9cc\ub4e4\uc5b4\uac11\ub2c8\ub2e4. \uc77c\ud558\ub294 \ubaa8\uc2b5\uc5d0 \ub300\ud55c \uc870\uae08 \ub354 \uc790\uc138\ud55c \uc774\uc57c\uae30\ub294 \ub2e4\uc74c\uc758 \ub0b4\uc6a9\uc744 \ucc38\uace0\ud558\uc2dc\uba74 \uc88b\uc2b5\ub2c8\ub2e4. \\- [How AI Lab Works] Head of AI - Shurain \uc778\ud130\ubdf0 \\- AI in Social Discovery(Blending Research and Production) \uc5c5\ubb34 \uc131\uacfc \uc911 \uc77c\ubd80\ub294 \ub17c\ubb38 \ub610\ub294 \uc624\ud508\uc18c\uc2a4 \ucf54\ub4dc\ub85c \uc678\ubd80\uc5d0 \uacf5\uac1c\ud558\uae30\ub3c4 \ud569\ub2c8\ub2e4. \uc81c\ud488\uc5d0 \uc0ac\uc6a9\ud558\uae30 \uc704\ud55c \ubaa9\uc801\uc73c\ub85c ML \ubaa8\ub378\uc744 \ub9cc\ub4e4\ub2e4 \ubcf4\uba74, \uae30\uc874 \uc5f0\uad6c\ub85c\ub294 \ubd80\uc871\ud55c \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \ubd80\uc871\ud55c \ubd80\ubd84\uc744 \ucc44\uc6b0\uae30 \uc704\ud574 \uc9c4\ud589\ub41c \uc5f0\uad6c\uc758 \uacb0\uacfc\ubb3c\uc744 \ud504\ub85c\uc81d\ud2b8 \ucc38\uc5ec\uc790\ub4e4\uc774 \ubaa8\ub450 \ud568\uaed8 \ud611\uc5c5\ud558\uc5ec \uc5f0\uad6c\uc758 \uc758\ubbf8 \uc788\ub294 \ubd80\ubd84\uc744 \uc815\ub3c8\ud558\uace0, \uac00\ub2a5\ud558\ub2e4\uba74 \ucf54\ub4dc\uc640 \ud568\uaed8 \uacf5\uac1c\ud569\ub2c8\ub2e4. \uadf8 \uacb0\uacfc, \uc9c0\uae08\uae4c\uc9c0 \uc544\ub798 \uc131\uacfc\ub97c \ud3ec\ud568\ud574 \uc57d 20\uc5ec \uac74\uc758 \ub300\uc678\uc801 \uc5f0\uad6c \uc131\uacfc\ub97c \uac70\ub458 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. \\- 2024\ub144 CUPID: 1:1 \uc18c\uc15c \ub514\uc2a4\ucee4\ubc84\ub9ac \ud50c\ub7ab\ud3fc\uc744 \uc704\ud55c \uc2e4\uc2dc\uac04 \uc138\uc158 \uae30\ubc18 \uc0c1\ud638 \ucd94\ucc9c \uc2dc\uc2a4\ud15c ICDM Workshop \ubc1c\ud45c \\- 2023\ub144 TiDAL: \ud6a8\uc728\uc801\uc778 \ud559\uc2b5 \uacfc\uc815\uc758 \ubaa8\ub378 \ud589\ub3d9\uc5d0 \uae30\ubc18\ud55c \uc561\ud2f0\ube0c \ub7ec\ub2dd \uae30\ubc95 ICCV 2023 \uac8c\uc7ac \\- 2023\ub144 \ubaa8\ub354\ub808\uc774\uc158 \ud658\uacbd\uc5d0\uc11c \uc5ec\ub7ec \ubd84\ub958 \uae30\uc900\uc744 \ub3d9\uc2dc\uc5d0 \ub9cc\uc871\ud558\uae30 \uc704\ud55c \ubb38\ud131\uac12\uc744 \uc7a1\ub294 \uc5f0\uad6c WSDM 2023 \uac8c\uc7ac \\- 2022\ub144 \ub300\ud654 \uc0dd\uc131\uc5d0\uc11c\uc758 \uc758\ubbf8\uc801 \ub2e4\uc591\uc131\uc744 \ub192\uc774\ub294 \uc5f0\uad6c EMNLP 2022 \uac8c\uc7ac \\- 2022\ub144 \ub808\uc774\ube14 \ub178\uc774\uc988\uac00 \uc2ec\ud55c \ud658\uacbd\uc5d0\uc11c \ud6a8\uacfc\uc801\uc73c\ub85c \ud559\uc2b5\ud558\ub294 \ubc29\ubc95 ECCV 2022 \uac8c\uc7ac \\- 2022\ub144 \ud0c0\uae43 \uce90\ub9ad\ud130\uc758 \uba87\uac00\uc9c0 \ubc1c\ud654\ub9cc\uc744 \uc774\uc6a9\ud558\uc5ec \ud0c0\uae43 \uce90\ub9ad\ud130\ub97c \ubaa8\ubc29\ud558\ub294 \ucc57\ubd07\uc5f0\uad6c NAACL 2022 \uac8c\uc7ac \\- 2022\ub144 \ub300\ud654 \uc0dd\uc131 \ubaa8\ub378\uc5d0\uc11c \uc608\uc2dc\ub97c \ud65c\uc6a9\ud558\uc5ec \uc131\ub2a5\uc744 \ub192\uc774\ub294 \uc5f0\uad6c ACL 2022 Workshop \ubc1c\ud45c \\- 2022\ub144 \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c \uc624\ub514\uc624 \ubd84\ub958\ub97c \uc704\ud55c distillation \uae30\uc220 \uc5f0\uad6c ICASSP \uac8c\uc7ac ML \uc5f0\uad6c\uac00 \uc798 \uc9c4\ud589\ub418\uae30 \uc704\ud574\uc11c\ub294 \ub525\ub7ec\ub2dd \ud559\uc2b5\uc744 \uc704\ud55c \uc778\ud504\ub77c\ub3c4 \uc798 \uac16\ucd94\uc5b4\uc838\uc57c\ud569\ub2c8\ub2e4. ML engineer\ub4e4\uc774 \ucda9\ubd84\ud788 \ubaa8\ub378 \uac1c\ubc1c \ubc0f \uc2e4\ud5d8\uc744 \uc9c4\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \uc790\uccb4 \ub525\ub7ec\ub2dd \ud074\ub7ec\uc2a4\ud130(\ucd1d 160\ub300 A100 GPU, 40\ub300 H100 GPU)\ub97c \ubcf4\uc720\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ucd94\uac00\uc801\uc73c\ub85c, \ub370\uc774\ud130 \uc218\uc9d1, \uc804\ucc98\ub9ac\ub97c \ud3ec\ud568\ud55c \uc790\uccb4\uc801\uc778 \ub370\uc774\ud130 \ud30c\uc774\ud504\ub77c\uc778\uc744 \ud074\ub77c\uc6b0\ub4dc \uc11c\ube44\uc2a4\ub97c \ud65c\uc6a9\ud558\uc5ec \uad6c\ucd95 \ubc0f \uc6b4\uc601\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub610, ML \ubaa8\ub378\uc758 \uc81c\ud488\ud654\ub97c \ub3c4\uc640\uc8fc\uc2e4 \ub2e4\uc591\ud55c software engineer(\ubc31\uc5d4\ub4dc/\ud504\ub860\ud2b8\uc5d4\ub4dc/DevOps/MLSE)\ubd84\ub4e4\uacfc \ud568\uaed8 \uc77c\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub2f4\ub2f9 \uc5c5\ubb34 Match Group AI\uc758 ML Engineer\ub294 \ucd5c\uc2e0 AI/ML \uae30\uc220\uc744 \uc5f0\uad6c\ud558\uace0 \uc801\uc6a9\ud558\ub294 \uacfc\ud559\uc790\uc774\uc790, \uc2e4\uc81c \uc11c\ube44\uc2a4 \ud658\uacbd\uc5d0 \ub9de\uac8c \ubaa8\ub378 \ubc0f \uc2dc\uc2a4\ud15c\uc744 \uc124\uacc4\ud558\uace0 \ucd5c\uc801\ud654\ud558\ub294 \uc5d4\uc9c0\ub2c8\uc5b4\uc785\ub2c8\ub2e4. \uc870\uc9c1\uc5d0\uc11c\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e4\uc591\ud55c \uc5c5\ubb34\ub4e4\uc744 \ub2f4\ub2f9\ud558\uace0 \uc788\uc73c\uba70, \uc774\ub4e4 \uc911 \uc801\uc5b4\ub3c4 \ud55c \uac00\uc9c0 \uc5c5\ubb34\uc5d0 \ub300\ud574\uc11c \ub2a5\uc219\ud558\uac8c \uc218\ud589\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84\uc744 \ucc3e\uace0 \uc788\uc2b5\ub2c8\ub2e4. \\- Match Group\uc5d0\uc11c \uc11c\ube44\uc2a4 \uc911\uc778 \uc81c\ud488\ub4e4\uc5d0\uc11c \ubc1c\uc0dd\ud558\ub294 \ub2e4\uc591\ud55c \ube44\uc988\ub2c8\uc2a4 \ubb38\uc81c\ub97c \ud574\uacb0\ud569\ub2c8\ub2e4. \ube44\uc988\ub2c8\uc2a4 \ubb38\uc81c\uc758 \ubc30\uacbd, \ubaa9\ud45c, \uc81c\uc57d\uc0ac\ud56d \ub4f1\uc744 \ud30c\uc545\ud558\uc5ec \uc62c\ubc14\ub978 AI/ML \ubb38\uc81c\ub85c \uc7ac\uc815\uc758\ud558\uace0, \uc774\ub97c \ud574\uacb0\ud558\uae30 \uc704\ud55c \ucd5c\uc120\uc758 \ubc29\ubc95\ub860\uc744 \ucc3e\uc544 \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \uacfc\uc815\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \\- Match Group\uc758 \uc0c8\ub85c\uc6b4 \uc81c\ud488 \ubc0f \uae30\ub2a5 \uac1c\ubc1c\uc5d0 \ucc38\uc5ec\ud569\ub2c8\ub2e4. \uc544\uc774\ub514\uc5b4 \uad6c\uc0c1\ubd80\ud130 \ud504\ub85c\ud1a0\ud0c0\uc774\ud551, \uc2e4\uc81c \uc0ac\uc6a9\uc790\uc5d0\uac8c \ub3c4\ub2ec\ud558\uae30\uae4c\uc9c0\uc758 \uacfc\uc815\uc5d0\uc11c AI/ML \uae30\uc220\ub4e4\uc744 \ud65c\uc6a9\ud558\uc5ec \uc81c\ud488 \ubc0f \uae30\ub2a5\uc744 \ube60\ub974\uace0 \uc62c\ubc14\ub974\uac8c \uad6c\ud604\ud558\ub294 \uacfc\uc815\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \\- \ub300\uaddc\ubaa8 \uc5b8\uc5b4 \ubaa8\ub378(large language models) \ubc0f \uba40\ud2f0\ubaa8\ub2ec \ubaa8\ub378(multimodal models) \uc120\ud589\uc5f0\uad6c \ubc0f \uac1c\ubc1c\uc744 \ub2f4\ub2f9\ud569\ub2c8\ub2e4. Match Group\uc758 \ub370\uc774\ud130\uc640 \ucd5c\uc2e0 \uae30\uc220\ub4e4\uc744 \ud65c\uc6a9\ud558\uc5ec \ub370\uc774\ud305 \ub3c4\uba54\uc778\uc5d0 \ud2b9\ud654\ub41c \ubaa8\ub378\uc744 \ub9cc\ub4e4\uace0, \uc81c\ud488\uc758 \ub2e4\uc591\ud55c \uc601\uc5ed\uc5d0 \uc801\uc6a9\uc2dc\ud0ac \uc218 \uc788\ub294 \ubc29\ubc95\uc744 \ucc3e\uc544\uac00\ub294 \uacfc\uc815\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \uc704 \uc5c5\ubb34\ub4e4\uc744 \uc218\ud589\ud558\uae30 \uc704\ud574 ML Engineer\uc5d0\uac8c\ub294 \ud0c4\ud0c4\ud55c AI/ML \uae30\ucd08 \uc9c0\uc2dd\ubfd0\ub9cc \uc544\ub2c8\ub77c \ucd5c\uc2e0 \uae30\uc220\uc744 \ube60\ub974\uac8c \ud559\uc2b5 \ubc0f \ub3c4\uc785\ud560 \uc218 \uc788\ub294 \uc801\uc751\ub825\uc744 \uae30\ub300\ud569\ub2c8\ub2e4. \uc774\ub7ec\ud55c \uc5ed\ub7c9\uc744 \uae30\ubc18\uc73c\ub85c \uc8fc\ub85c \ub2e4\uc74c\uacfc \uac19\uc740 \uae30\uc220\uc801\uc778 \uc8fc\uc81c\ub4e4\uc744 \uc811\ud558\uac8c \ub429\ub2c8\ub2e4. \\- \ud14d\uc2a4\ud2b8, \uc774\ubbf8\uc9c0, \uc774\ubca4\ud2b8 \ub85c\uadf8 \ub4f1\uc744 \ud3ec\ud568\ud558\uc5ec \ub2e4\uc591\ud55c modality\ub97c \uac00\uc9c4 \ub370\uc774\ud130\ub97c \uc62c\ubc14\ub974\uac8c \ub2e4\ub8e8\ub294 \ubc29\ubc95 \ubc0f \uc218\uc9d1\ub41c \ub370\uc774\ud130\uc758 \ud3b8\ud5a5 \ubc0f \ub178\uc774\uc988\ub97c \uc62c\ubc14\ub974\uac8c \ud574\uc18c\ud558\ub294 \ubc29\ubc95 \\- \uc81c\ud488\uc758 \ubaa9\ud45c\uc640 \uc815\ub82c\ub41c \ud3c9\uac00 \uc9c0\ud45c \uc815\uc758 \ubc0f \ubaa9\ud45c \ub2ec\uc131\uc744 \uc704\ud55c \ucd5c\uc801\uc758 \ubaa8\ub378 \ud559\uc2b5 \ubc29\ubc95 \\- \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc81c\uc57d\uc0ac\ud56d \ubc0f \uc778\ud504\ub77c \ud658\uacbd\uc744 \uace0\ub824\ud55c \uc628\ub514\ubc14\uc774\uc2a4 \ubc0f \ub300\uaddc\ubaa8 \ubaa8\ub378 \ucd94\ub860 \ucd5c\uc801\ud654 \ubc29\ubc95 Requirements AI/ML\uc5d0 \ub300\ud55c \uae30\ubcf8 \uc9c0\uc2dd\uacfc \uc801\uc5b4\ub3c4 \ud55c \uac1c \uc774\uc0c1\uc758 \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0 \ub300\ud55c \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uac16\ucd94\uace0, \uad00\ub828 \ud504\ub85c\uc81d\ud2b8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 Exploratory Data Analysis(EDA)\ub97c \ud1b5\ud574, \ub370\uc774\ud130\uc758 \ud1b5\uacc4\uc801 \ud2b9\uc131\uacfc \ud328\ud134\uc744 \ubc1c\uacac\ud558\uace0 \uc774\ub97c \ubb38\uc81c \ud574\uacb0 \uacfc\uc815\uc5d0 \ubc18\uc601\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 PyTorch, Tensorflow, JAX \ub4f1\uc758 \uc624\ud508\uc18c\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \ubc0f \uc804\ubc18\uc801\uc778 \ud30c\uc774\uc36c \uac1c\ubc1c\uc5d0 \ub2a5\uc219\ud558\uc2e0 \ubd84 ML \ubaa8\ub378 \ud559\uc2b5 \ud30c\uc774\ud504\ub77c\uc778 \uad6c\ucd95 \ubc0f \ubc30\ud3ec \uacfc\uc815\uc5d0 \ud544\uc694\ud55c \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc5ed\ub7c9\uc744 \uac16\ucd94\uc2e0 \ubd84 AI \uae30\uc220\uc758 \uc11c\ube44\uc2a4\ud654\uc5d0 \uad00\uc2ec\uc774 \ub9ce\uc73c\uc2e0 \ubd84 \ud55c\uad6d\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud558\uace0, \uc601\uc5b4\ub85c \uc791\uc131\ub41c \uae30\uc220\ubb38\uc11c \uc774\ud574, \uc791\uc131 \ubc0f \ube44\ub300\uba74 \uc18c\ud1b5\uc774 \uac00\ub2a5\ud558\uc2e0 \ubd84 \ud559\uc704/\uad6d\uc801 \ubb34\uad00 Preferred Qualifications AI/ML \uad00\ub828 \ud0d1\ud2f0\uc5b4 \ud559\ud68c \ubc0f \uc800\ub110(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD,  ) \uac8c\uc7ac \uc2e4\uc801 \ud639\uc740 \uad00\ub828 \ub300\ud68c \uc218\uc0c1 \uc2e4\uc801\uc774 \uc788\uc73c\uc2e0 \ubd84 \ub300\uaddc\ubaa8 \ud559\uc2b5 \ub370\uc774\ud130\uc640 \ucef4\ud4e8\ud305 \uc790\uc6d0\uc744 \ud65c\uc6a9\ud558\uc5ec LLM \ud639\uc740 \ube44\uc2b7\ud55c \uaddc\ubaa8\uc758 \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ucf1c \uc131\ub2a5\uc744 \ub04c\uc5b4\uc62c\ub9b0 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ud074\ub77c\uc774\uc5b8\ud2b8(Android, iOS), \ubc31\uc5d4\ub4dc\ub97c \ud3ec\ud568\ud574 AI \ubd84\uc57c \uc678 \ud504\ub85c\uc81d\ud2b8 \uac1c\ubc1c \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc2e4\uc81c \uc11c\ube44\uc2a4\uc5d0 AI \uae30\uc220\uc744 \uc801\uc6a9\ud558\uc5ec \uc8fc\uc694 \ube44\uc988\ub2c8\uc2a4 \uc9c0\ud45c\ub97c \uc720\uc758\ubbf8\ud558\uac8c \ud5a5\uc0c1\uc2dc\ucf1c \ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 A/B \ud14c\uc2a4\ud2b8 \uc2e4\ud5d8 \uae30\ud68d \ubc0f \ud0c0\uac9f KPI \uc9c0\ud45c\ub97c \uc815\uc758\ud558\uace0, SQL\uae30\ubc18 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc9c4\ud589\ud55c \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc601\uc5b4\ub85c \uc2e4\uc2dc\uac04 \ube44\uc988\ub2c8\uc2a4 \uc758\uc0ac\uc18c\ud1b5\uc744 \ub2a5\uc219\ud558\uac8c \uc218\ud589\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 $ - $ a year None \uc81c\ucd9c\ud574 \uc8fc\uc2e0 \ub0b4\uc6a9 \uc911 \ud5c8\uc704 \uc0ac\uc2e4\uc774 \uc788\uac70\ub098 \uad00\ub828\ubc95 \uc0c1 \uadfc\ub85c\uc81c\uacf5\uc5d0 \uacb0\uaca9\uc0ac\uc720\uac00 \uc788\ub294 \uacbd\uc6b0 \ucc44\uc6a9\uc774 \ucde8\uc18c\ub420 \uc218 \uc788\uc73c\uba70, \ud544\uc694\uc2dc \uc0ac\uc804\uc5d0 \uc548\ub0b4\ub41c \ucc44\uc6a9 \uc808\ucc28 \uc678\uc5d0\ub3c4 \ucd94\uac00 \uc804\ud615 \ubc0f \uc11c\ub958 \ud655\uc778\uc774 \uc9c4\ud589\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uad6d\uac00\ubcf4\ud6c8\ub300\uc0c1\uc790\ub294 \uad00\uacc4 \ubc95\ub839\uc5d0 \ub530\ub77c \uc6b0\ub300\ud558\uc624\ub2c8, \ud574\ub2f9\ub418\uc2dc\ub294 \ubd84\uaed8\uc11c\ub294 \uc9c0\uc6d0 \uc2dc \uace0\uc9c0\ud574\uc8fc\uc2dc\uace0 \ucc44\uc6a9 \uc2dc \uc99d\ube59\uc11c\ub958\ub97c \uc81c\ucd9c\ud574\uc8fc\uc2dc\uae30 \ubc14\ub78d\ub2c8\ub2e4. \ud558\uc774\ud37c\ucee4\ub125\ud2b8\uac00 \ucc44\uc6a9\ud558\ub294 \ud3ec\uc9c0\uc158\uc5d0 \uc9c0\uc6d0\ud558\ub294 \uacbd\uc6b0, \uac1c\uc778\uc815\ubcf4 \ucc98\ub9ac\uc5d0 \uad00\ud558\uc5ec\uc11c\ub294 \ubcf8 \uac1c\uc778\uc815\ubcf4\ucc98\ub9ac\ubc29\uce68\uc774 \uc801\uc6a9\ub429\ub2c8\ub2e4: https://career.hyperconnect.com/privacy HPCNT", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/30029464", "isPrivate": false}, {"id": 30029468, "name": "Senior Machine Learning Engineer (Match Group AI)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Match Group", "business_unit": "MG APAC", "t_update": 1765256469, "t_create": 1751279019, "ats_job_id": "4eca7f77-c7f3-4225-bf81-6c409c25f66f", "display_job_id": "R0003401", "type": "ATS", "id_locale": "R0003401-en", "job_description": "AI/ML \ub3c4\uba54\uc778 \uc804\ubc18\uc5d0 \ub300\ud55c \uc774\ud574\uc640 \uc801\uc5b4\ub3c4 \ud55c \uac1c \uc774\uc0c1\uc758 \ud2b9\uc815 \ub3c4\uba54\uc778\uc5d0 \ub300\ud55c \uae4a\uc774 \uc788\ub294 \uc9c0\uc2dd\uc744 \uac16\ucd94\uace0, \uad00\ub828 \ubd84\uc57c \ubc15\uc0ac \ud559\uc704 \ud639\uc740 5\ub144 \uc774\uc0c1\uc758 \uc0b0\uc5c5 \ud504\ub85c\uc81d\ud2b8 \uacbd\ud5d8, \ud639\uc740 \uadf8\uc5d0 \uc900\ud558\ub294 \uc5ed\ub7c9\uc744 \ubcf4\uc720\ud558\uace0 \uacc4\uc2e0 \ubd84 \ubaa8\ud638\ud55c \ube44\uc988\ub2c8\uc2a4 \ud639\uc740 \uae30\uc220\uc801\uc778 \ubb38\uc81c\uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c \uc774\ub97c \uc62c\ubc14\ub978 AI/ML \ubb38\uc81c\ub85c \uc815\uc758\ud558\uace0, \ud569\ub9ac\uc801\uc778 \uae30\uc220\uc801 \uc758\uc0ac\uacb0\uc815\uc744 \ubc14\ud0d5\uc73c\ub85c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 PyTorch, Tensorflow, JAX \ub4f1\uc758 \uc624\ud508\uc18c\uc2a4 \ud504\ub808\uc784\uc6cc\ud06c \ubc0f \uc804\ubc18\uc801\uc778 \ud30c\uc774\uc36c \uac1c\ubc1c\uc744 \ube60\ub974\uac8c \uc218\ud589\ud558\uace0, \ud611\uc5c5 \ubc0f \uc720\uc9c0\ubcf4\uc218\ub97c \uc704\ud574 \ub192\uc740 \ud488\uc9c8\uc758 \ucf54\ub4dc\ub97c \uad00\ub9ac\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 \uc548\uc815\uc131\uc788\ub294 ML \ud559\uc2b5 \ud30c\uc774\ud504\ub77c\uc778 \ubc0f \ubc30\ud3ec \ud504\ub85c\uc138\uc2a4\ub97c \uc124\uacc4\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 \ub04a\uc784\uc5c6\uc774 \uc0c8\ub85c\uc6b4 \uae30\uc220\uc744 \ud0d0\uad6c\ud558\uace0 \uacf5\uc720\ud558\uba70 \ud300\uc774 \ub192\uc740 \uc218\uc900\uc758 AI/ML \uae30\uc220\uc801 \uacbd\uc7c1\ub825\uc744 \uac16\ucd94\uace0 \uc720\uc9c0\ud558\ub3c4\ub85d \ub3c4\uc640\uc8fc\uc2e4 \uc218 \uc788\ub294 \ubd84 \ub450 \uba85 \uc774\uc0c1\uc758 ML Engineer\uac00 \ucc38\uc5ec\ud558\ub294 AI \ud504\ub85c\uc81d\ud2b8\uc5d0\uc11c \uae30\uc220\uc801\uc778 \uc758\uc0ac\uacb0\uc815\uc744 \uc774\ub04c\uc5b4\uac08 \uc218 \uc788\uc73c\uc2e0 \ubd84 \uc5ec\ub7ec \uc9c1\uad70\uc758 \uc774\ud574\uad00\uacc4\uc790\uc640 \ud611\uc5c5\ud560 \uc218 \uc788\ub294 \ub6f0\uc5b4\ub09c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ub2a5\ub825\uc744 \uac16\ucd94\uc2e0 \ubd84 \ud55c\uad6d\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud558\uace0, \uc601\uc5b4\ub85c \uae30\ubcf8\uc801\uc778 \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud558\uc2e0 \ubd84 AI/ML \uad00\ub828 \ud0d1\ud2f0\uc5b4 \ud559\ud68c \ubc0f \uc800\ub110(NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, KDD,  ) \uac8c\uc7ac \uc2e4\uc801 \ud639\uc740 \uad00\ub828 \ub300\ud68c \uc218\uc0c1 \uc2e4\uc801\uc774 \uc788\uc73c\uc2e0 \ubd84 LLM \ud639\uc740 \ube44\uc2b7\ud55c \uaddc\ubaa8\uc758 \ubaa8\ub378\uc744 \ub300\uaddc\ubaa8\ub85c \ud559\uc2b5\ud560 \ub54c \ud544\uc694\ud55c \uc804\uccb4 \uacfc\uc815\uc744 \uc774\ub04c\uba70 \uc131\uacfc\ub97c \ub9cc\ub4e4\uc5b4\ub0b8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ub300\uaddc\ubaa8 \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uac1c\ubc1c \uacbd\ud5d8 \ubc0f \uc544\ud0a4\ud14d\uccd0/\uc2dc\uc2a4\ud15c \ub514\uc790\uc778\uc5d0 \ud544\uc694\ud55c \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc5ed\ub7c9\uc744 \uac16\ucd94\uace0 \uacc4\uc2e0 \ubd84 A/B \ud14c\uc2a4\ud2b8 \uc2e4\ud5d8 \uae30\ud68d \ubc0f \ud0c0\uac9f KPI \uc9c0\ud45c\ub97c \uc62c\ubc14\ub974\uac8c \uc815\uc758\ud558\uace0, SQL\uae30\ubc18 \ub370\uc774\ud130 \ubd84\uc11d\uc744 \uc804\ubb38\uc131 \uc788\uac8c \uc218\ud589\ud558\uc2e4 \uc218 \uc788\uc73c\uc2e0 \ubd84 \uc778\uacfc\uad00\uacc4 \ubd84\uc11d \ubc0f \uae30\ud0c0 \ud1b5\uacc4 \uae30\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc5d0\uc11c \uc758\ubbf8 \uc788\ub294 \ud1b5\ucc30\ub825\uc744 \ubc1c\uad74\ud558\uace0 \uc758\uc0ac\uacb0\uc815\uc5d0 \uc62c\ubc14\ub974\uac8c \uc801\uc6a9\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ud300\uc744 \ub9ac\ub4dc\ud574\ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 PO/PM \ud639\uc740 \uadf8\uc5d0 \uc900\ud558\ub294 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc601\uc5b4\ub85c \uc2e4\uc2dc\uac04 \ube44\uc988\ub2c8\uc2a4 \uc758\uc0ac\uc18c\ud1b5\uc744 \ub2a5\uc219\ud558\uac8c \uc218\ud589\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/30029468", "isPrivate": false}, {"id": 30772350, "name": "Senior Machine Learning Software Engineer (Recommendation, Moderation)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Hyperconnect", "business_unit": "AI/ML", "t_update": 1765256469, "t_create": 1755156354, "ats_job_id": "1f82574d-f1f8-4466-ad61-9bde3b213ad5", "display_job_id": "R0004475", "type": "ATS", "id_locale": "R0004475-en", "job_description": "5\ub144 \uc774\uc0c1\uc758 \uc18c\ud504\ud2b8\uc6e8\uc5b4(\ubc31\uc5d4\ub4dc, \ub370\uc774\ud130 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1, \ubd84\uc0b0 \uc2dc\uc2a4\ud15c \ub4e4 \ub4f1) \uc124\uacc4 \ubc0f \uad6c\ud604, \uc6b4\uc601 \ub4f1\uc5d0 \ub300\ud55c \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 ML Software Engineering Team\uc758 \uc8fc\uc694 \uc5c5\ubb34 \uc911 \ucd5c\uc18c \ud55c \ubd84\uc57c\uc5d0\uc11c \uae4a\uc774\uc788\ub294 \uc804\ubb38\uc131\uc744 \ubcf4\uc720\ud558\uace0, \ub610 \ub2e4\ub978 \ud55c \ubd84\uc57c\uc5d0\uc11c \uc2e4\ubb34 \uacbd\ud5d8\uc744 \uc313\uc73c\uc2e0 \ubd84 CS fundamentals(\uc6b4\uc601\uccb4\uc81c, \ub124\ud2b8\uc6cc\ud06c, \ucef4\ud4e8\ud130 \uc2dc\uc2a4\ud15c \uc544\ud0a4\ud14d\ucc98, \uc790\ub8cc\uad6c\uc870 \ubc0f \uc54c\uace0\ub9ac\uc998 \ub4f1)\uc5d0 \ub300\ud55c \ud0c4\ud0c4\ud55c \uae30\ubcf8\uc9c0\uc2dd\uc744 \ubcf4\uc720\ud558\uc2e0 \ubd84 Java(Kotlin), Python, JavaScript(TypeScript), Golang, RUST \uc911 \ub450 \uac1c \uc774\uc0c1\uc758 \uc5b8\uc5b4\uc5d0 \ub300\ud55c \uae4a\uc740 \uc774\ud574\ub97c \ubc14\ud0d5\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uc5b8\uc5b4\ub97c \ubc1b\uc544\ub4e4\uc774\ub294\ub370 \uc5b4\ub824\uc6c0\uc774 \uc5c6\ub294 \ubd84 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ud300\uc744 \ub9ac\ub4dc\ud574\ubcf8 \uacbd\ud5d8\uc774 \uc788\uac70\ub098, \ud300 \ucc28\uc6d0\uc758 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc5ed\ub7c9 \uac15\ud654\uc5d0 \uae30\uc5ec\ud574 \ubcf4\uc2e0 \ubd84 \uc601\uc5b4\ub85c \ub4e3\uace0 \ub9d0\ud558\ub294\ub370 \ub450\ub824\uc6c0\uc774 \uc5c6\uc73c\uba70, \ud55c\uad6d\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud55c \ubd84 \ucd94\ucc9c \uc2dc\uc2a4\ud15c, \uc0dd\uc131\ud615 AI \ub4f1 \ucd5c\uc2e0 ML \uae30\uc220\uc744 \ud65c\uc6a9\ud55c \uc560\ud50c\ub9ac\ucf00\uc774\uc158 \uac1c\ubc1c \ubc0f \ud504\ub85c\ub355\uc158 \uc6b4\uc601 \uacbd\ud5d8 ML \ubaa8\ub378\uc744 \uc2e4\uc81c \uc11c\ube44\uc2a4\uc5d0 \uc801\uc6a9\ud558\uc5ec \uc8fc\uc694 \uc9c0\ud45c\ub97c \uc720\uc758\ubbf8\ud558\uac8c \ud5a5\uc0c1\uc2dc\ud0a8 \uacbd\ud5d8 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ud300\uc744 \ub9ac\ub4dc\ud558\uac70\ub098 \uc5ec\ub7ec \uc9c1\uad70\uc758 \uc774\ud574\uad00\uacc4\uc790\uc640 \ud611\uc5c5\ud55c \uacbd\ud5d8 \ubc0f \ub6f0\uc5b4\ub09c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ub2a5\ub825 \ub300\uaddc\ubaa8 \ud2b8\ub798\ud53d\uc744 \ucc98\ub9ac\ud558\ub294 \ubc31\uc5d4\ub4dc \uc11c\ubc84 \uac1c\ubc1c \uacbd\ud5d8 Spark, Flink \ub4f1 \ub300\uc6a9\ub7c9*\uc2e4\uc2dc\uac04 \ucc98\ub9ac\ub97c \uc704\ud55c \ubd84\uc0b0/\ubcd1\ub82c \uc2dc\uc2a4\ud15c \uac1c\ubc1c 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