hyperconnect jobs in seoul south korea

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1768957462, "ats_job_id": "a823466a-3282-48e3-9e6e-1bf06906a4b6", "display_job_id": "R0004778", "type": "ATS", "id_locale": "R0004778-en", "job_description": "Serve as the lead legal advisor for MG's Korea-originated initiatives and international expansion, providing pragmatic, solutions-oriented counsel to business and functional stakeholders, in close coordination with global legal, privacy, trust and safety teams at Match Group HQ. Key internal stakeholders include: the Product, Engineering, Marketing, and Commercial business teams, along with peers within the regional Legal and Privacy teams. Work with a high degree of ownership and autonomy on Korea-specific legal matters, while recognising that certain legal, regulatory, privacy, trust & safety, and reputational decisions are owned (or co-owned) at the global level, requiring consultation, alignment, or deferral to Match Group Asia and HQ functional leaders. Help to identify, anticipate, and mitigate legal and regulatory risks associated with the launch of new features and technologies, and into new markets, especially given the evolving tech landscape and ambiguous operating environments. Draft, negotiate, and oversee complex marketing, commercial, and product-related contracts, policies, and governance frameworks; striving for consistency with global standards, playbooks, and risk positions set by Match Group. Mentor and manage junior legal team members, helping to constantly up-level their skills, and advocating for their professional growth. Champion a collaborative and solutions-driven legal culture, fostering trust with internal non-legal (e.g. product / marketing) teams, while constructively challenging decisions where needed to safeguard legal and reputational interests. A law degree from an accredited law program and admission to the Bar in South Korea and/or US, or other notable Commonwealth jurisdictions. Minimum 6-8 years' PQE, with prior in-house legal department experience; prior tech-company experience is strongly preferred, prior MNC and/or portfolio company experience is a bonus. Business level Korean and business level English (both written and spoken). Demonstrated ability to exercise sound judgment in a lean legal function, paired with the maturity to recognise when issues require input or decision-making from global functional experts or senior legal leadership. Astute ability to advocate for business priorities while upholding legal and regulatory integrity. Familiarity with the demands of a small legal team, able to lead and inspire junior lawyers, adept at guiding them on drafting, negotiating, writing and research skills. Able to manage competing expectations from various stakeholders, while helping to keep project timelines on-track, and maintain execution discipline in a fast-paced environment. Experience navigating a cross-functional, multinational team, welcoming diversity and supporting inclusivity, including a willingness to jump in and assist with no ego. Experience with general consumer protection, data protection, IP, digital media, internet industry laws are strongly preferred. 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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. 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A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world. English communication skills to collaborate with global teams both synchronously and asynchronously. 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Code review : Pull Request \uae30\ubc18 \ub9ac\ubdf0\ub97c \ud1b5\ud574 \ucf54\ub4dc \ud488\uc9c8\uc744 \uc720\uc9c0\ud558\uace0, \uc0c1\ud638 \ud53c\ub4dc\ubc31\uc73c\ub85c \ud300\uc758 \uac1c\ubc1c \uc5ed\ub7c9\uc744 \ud5a5\uc0c1\ud569\ub2c8\ub2e4. Troubleshooting & performance : \uc571\uc758 \uc548\uc815\uc131\uacfc \uc131\ub2a5\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\uba70, \ubb38\uc81c\ub97c \uc2e0\uc18d\ud788 \ud574\uacb0\ud558\uace0 \uc8fc\uc694 \uc9c0\ud45c\ub97c \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ud569\ub2c8\ub2e4. Architectural improvement : \uc0c8\ub85c\uc6b4 \uae30\uc220\uacfc \uc544\ud0a4\ud14d\ucc98\ub97c \ub3c4\uc785\ud574 \uc0dd\uc0b0\uc131\uacfc \uc720\uc9c0\ubcf4\uc218\uc131\uc744 \ub192\uc774\uba70, \uc77c\uad00\uc131 \uc788\ub294 \uad6c\uc870\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4. Android \uac1c\ubc1c \uacbd\ub825 7\ub144 \uc774\uc0c1, \uc0c1\uc6a9 \uc11c\ube44\uc2a4 \ubc0f \ub300\uaddc\ubaa8 \uc0ac\uc6a9\uc790 \ud658\uacbd \uacbd\ud5d8 \ubcf4\uc720 Android \ud50c\ub7ab\ud3fc\uacfc \uc544\ud0a4\ud14d\ucc98 \uc124\uacc4 \uc804\ubc18\uc5d0 \ub300\ud55c \uae4a\uc740 \uc774\ud574 Java, Kotlin, JVM \ud658\uacbd\uc5d0 \uc219\ub828\ub418\uc5b4 \uc788\uc73c\uba70, \ub9ac\ud329\ud1a0\ub9c1 \ubc0f \uad6c\uc870 \uac1c\uc120 \uacbd\ud5d8\uc774 \ud48d\ubd80\ud558\uc2e0 \ubd84 \ube44\ub3d9\uae30 \ucc98\ub9ac(Coroutine, RxJava) \ubc0f Thread-safe \ud504\ub85c\uadf8\ub798\ubc0d\uc5d0 \ub2a5\uc219\ud558\uc2e0 \ubd84 Jetpack Compose \ub4f1 \ucd5c\uc2e0 Android \uae30\uc220 \ud2b8\ub80c\ub4dc\uc5d0 \uc775\uc219\ud558\uace0 \ud6a8\uc728\uc801\uc778 UI \uad6c\uc870 \uc124\uacc4 \uc5ed\ub7c9 \ubcf4\uc720 \uc131\ub2a5 \ucd5c\uc801\ud654*\uc548\uc815\uc131 \uac1c\uc120 \uacbd\ud5d8\uacfc \ud568\uaed8, \ucf54\ub4dc \ub9ac\ubdf0 \ubc0f \uc9c0\uc2dd \uacf5\uc720\ub97c \ud1b5\ud574 \ud300 \uc5ed\ub7c9\uc744 \ub192\uc774\uc2e4 \uc218 \uc788\ub294 \ubd84", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39498349", "isPrivate": false}, {"id": 29421309, "name": "Senior Data Analyst (Azar)", "posting_name": "Senior Data Analyst (Azar)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Hyperconnect", "business_unit": "Engineering", "t_update": 1772514096, "t_create": 1748590334, "ats_job_id": "fd7a864d-8c3c-455e-bf07-f2470a7f4d05", "display_job_id": "R0004320", "type": "ATS", "id_locale": "R0004320-en", "job_description": "A/B \ud14c\uc2a4\ud2b8 \uc124\uacc4 \ubc0f \uac80\uc99d\uc744 \ud1b5\ud55c \uc81c\ud488 \uac1c\uc120 \uc81c\ud488 \ud639\uc740 \uae30\ub2a5 \uac1c\uc120\uc744 \uc704\ud574 \uba85\ud655\ud55c \uac00\uc124\uc744 \uc218\ub9bd\ud558\uace0, \ub370\uc774\ud130 \uae30\ubc18 A/B \ud14c\uc2a4\ud2b8\ub97c \uc124\uacc4\ud569\ub2c8\ub2e4. \uc2e4\ud5d8 \uc124\uacc4(\uc0d8\ud50c\ub9c1, \uc8fc\uc694 \uc9c0\ud45c \uc815\uc758 \ub4f1)\ubd80\ud130 \uc2e4\ud589, \uacb0\uacfc \uc218\uc9d1 \ubc0f \ud1b5\uacc4\uc801 \uc720\uc758\uc131 \uac80\uc99d\uae4c\uc9c0 \uad00\ub9ac\ud569\ub2c8\ub2e4. A/B \ud14c\uc2a4\ud2b8 \uacb0\uacfc\ub97c \uc774\ud574\uad00\uacc4\uc790\ub4e4\uacfc \uba85\ud655\ud558\uace0 \uad6c\uc870\uc801\uc73c\ub85c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158\ud558\uba70, \ud575\uc2ec \uc778\uc0ac\uc774\ud2b8\uc640 \ub808\uc2a8\ub7f0\uc744 \ucd95\uc801\ud574 \uc81c\ud488 \uc804\ub7b5\uc5d0 \ubc18\uc601\ud569\ub2c8\ub2e4. \uc81c\ud488 \uc131\uc7a5\uc744 \uc704\ud55c \ub370\uc774\ud130 \ubd84\uc11d \ubc0f \uc804\ub7b5 \uc81c\uc2dc \uc544\uc790\ub974\ub97c \ube44\ub86f\ud55c \ub2e4\uc591\ud55c \uc11c\ube44\uc2a4\uc758 \uc720\uc800 \ud589\ub3d9\uc744 \ubd84\uc11d\ud558\uc5ec \ubb38\uc81c\ub97c \uc815\uc758\ud558\uace0, \uc2e4\ud589 \uac00\ub2a5\ud55c \uc778\uc0ac\uc774\ud2b8\ub97c \ub3c4\ucd9c\ud569\ub2c8\ub2e4. \uc81c\ud488\uc758 \ud575\uc2ec \uc9c0\ud45c\ub97c \ubaa8\ub2c8\ud130\ub9c1\ud558\uace0, \uc9c0\ud45c \ubcc0\ud654\uc758 \uc6d0\uc778\uc744 \ubd84\uc11d\ud558\uc5ec \ud504\ub85c\ub355\ud2b8 \uc804\ub7b5\uc744 \uc81c\uc2dc\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uc124\uacc4 \ubc0f \ubd84\uc11d \ud658\uacbd \uad00\ub9ac \uc2e0\uaddc \uae30\ub2a5\uacfc \uc81c\ud488\uc5d0 \ub300\ud55c \ub370\uc774\ud130 \uc804\ub7b5\uc744 \uc218\ub9bd\ud558\uace0, \uc720\uc800 \ud589\ub3d9\uc744 \uc815\ud655\ud788 \uce21\uc815\ud558\uae30 \uc704\ud55c \uc774\ubca4\ud2b8 \ub85c\uadf8\ub97c \uc9c1\uc811 \uc124\uacc4\ud569\ub2c8\ub2e4. Airflow\ub97c \ud1b5\ud55c \uc790\ub3d9\ud654 \ud30c\uc774\ud504\ub77c\uc778\uc744 \ub9cc\ub4e4\uace0, Tableau/Looker Studio\ub97c \ud65c\uc6a9\ud55c \ub300\uc2dc\ubcf4\ub4dc \uc124\uacc4 \ubc0f \uc9c0\ud45c \uc6b4\uc601\uc744 \ud1b5\ud574 \uc870\uc9c1\uc758 \ub370\uc774\ud130 \ub9ac\ud130\ub7ec\uc2dc\ub97c \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4. \uc870\uc9c1 \ucc28\uc6d0\uc758 \uae30\uc5ec \ubc0f \ub9ac\ub354\uc2ed \ub3d9\ub8cc \ubd84\uc11d\uac00\ub4e4\uc758 \uc131\uc7a5\uc744 \ub3d5\uace0, \ubd84\uc11d \ubc29\ubc95\ub860\uacfc \ubca0\uc2a4\ud2b8 \ud504\ub799\ud2f0\uc2a4\ub97c \uacf5\uc720\ud569\ub2c8\ub2e4. \ubd84\uc11d \uacb0\uacfc \uc790\uc0b0\ud654\ub97c \ud1b5\ud574 \ubd84\uc11d \ud6a8\uc728\uc131\uc744 \uac1c\uc120\ud569\ub2c8\ub2e4. \ubd84\uc11d \ud504\ub85c\uc138\uc2a4 \uac1c\uc120 \ubc0f \uc2e4\ud5d8 \ubd84\uc11d \ud504\ub808\uc784\uc6cc\ud06c \uad6c\ucd95\uc744 \uc8fc\ub3c4\ud558\uc5ec \ud300\uacfc \uc870\uc9c1\uc758 \ub370\uc774\ud130 \ubd84\uc11d \uc5ed\ub7c9\uc744 \ud5a5\uc0c1\uc2dc\ud0b5\ub2c8\ub2e4. A/B \ud14c\uc2a4\ud2b8 \uc124\uacc4\ubd80\ud130 \ubd84\uc11d, \uc778\uc0ac\uc774\ud2b8 \ub3c4\ucd9c\uae4c\uc9c0 \uc804 \uacfc\uc815\uc5d0\uc11c \uc8fc\ub3c4\uc801\uc73c\ub85c \uc2e4\ud589\ud55c \uacbd\ud5d8\uc774 \ub9ce\uc73c\uc2e0 \ubd84 SQL\uc744 \ud65c\uc6a9\ud55c \ub370\uc774\ud130 \ubd84\uc11d \uacbd\ub825\uc774 7\ub144 \uc774\uc0c1\uc774\uac70\ub098, \uc774\uc5d0 \uc900\ud558\ub294 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc720\uc800 \ud589\ub3d9 \ubd84\uc11d\uc744 \uc704\ud55c \uc774\ubca4\ud2b8 \ub85c\uadf8 \uc124\uacc4 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc22b\uc790\ub97c \ubc14\ud0d5\uc73c\ub85c \ubcf5\uc7a1\ud55c \ubb38\uc81c\ub97c \uad6c\uc870\ud654\ud558\uace0 \uccb4\uacc4\uc801\uc73c\ub85c \uc778\uc0ac\uc774\ud2b8\ub97c \uc815\ub9ac\ud558\uc2e4 \uc218 \uc788\ub294 \ubd84 \ub2e4\uc591\ud55c Stakeholder\uc640 \uc6d0\ud65c\ud55c \ud611\uc5c5 \ubc0f \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \uc5ed\ub7c9\uc744 \ubcf4\uc720\ud558\uc2e0 \ubd84 Tableau/Looker Studio \ub4f1\uc758 BI \ud234\uc744 \ud65c\uc6a9\ud55c \ub300\uc2dc\ubcf4\ub4dc \uc124\uacc4 \ubc0f \uc9c0\ud45c \uc6b4\uc601 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ub370\uc774\ud130 \ud30c\uc774\ud504\ub77c\uc778/\uc790\ub3d9\ud654\ub97c \uc704\ud55c \ud234(BigQuery, Airflow, Python \ub4f1)\uc744 \uc2e4\ubb34\uc5d0 \uc801\uc6a9\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/29421309", "isPrivate": false}, {"id": 39508325, "name": "Monetization Analyst", "posting_name": "Monetization Analyst", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Hyperconnect", "business_unit": "Business", "t_update": 1772514096, "t_create": 1767610113, "ats_job_id": "3e099b3b-0f94-497d-921f-779c040c4b4a", "display_job_id": "3e099b3b-0f94-497d-921f-779c040c4b4a", "type": "ATS", "id_locale": "676987538499665038-en", "job_description": "\uac74\uac15\ud558\uace0 \uc9c0\uc18d \uac00\ub2a5\ud55c \uc218\uc775\ud654\ub97c \uc704\ud55c BM(\ube44\uc988\ub2c8\uc2a4 \ubaa8\ub378) \uc804\ub7b5 \uc218\ub9bd \ubc0f \uc2e4\ud589 \uc8fc\uc694 \uc720/\ubb34\ub8cc \uc0c1\ud488\uc5d0 \ub300\ud55c \uac00\uaca9 \uc815\ucc45(\ud504\ub77c\uc774\uc2f1), \ub9ac\uc6cc\ub4dc \uad6c\uc870, \uc720\uc800 \uac00\uce58 \ubc38\ub7f0\uc2a4 \uac80\ud1a0 \ubc0f \uac1c\uc120 \uae30\uc874 BM\uc758 \uc131\uacfc \ubd84\uc11d \ubc0f \ub9e4\ucd9c/\uc804\ud658 \uc9c0\ud45c \uae30\ubc18\uc758 \uc6b4\uc601 \ucd5c\uc801\ud654 \ub2e4\uc591\ud55c \uc2e4\ud5d8(\uac00\uaca9 \uc2e4\ud5d8, \ubc88\ub4e4 \uad6c\uc131, \uc720\uc800 \uc138\uadf8\uba3c\ud2b8\ubcc4 \uc811\uadfc \ub4f1) \uc124\uacc4 \ubc0f \uc6b4\uc601 \ud0c0 \ud50c\ub7ab\ud3fc \ubc0f \uae00\ub85c\ubc8c \uc720\uc800\uc758 \uc218\uc775\ud654 \ud2b8\ub80c\ub4dc \ub9ac\uc11c\uce58 \ubc0f \uc778\uc0ac\uc774\ud2b8 \ub3c4\ucd9c \uac1c\ubc1c, \ub370\uc774\ud130, \ub514\uc790\uc778, \ub9c8\ucf00\ud305 \ub4f1 \uc720\uad00 \ubd80\uc11c\uc640 \ud611\uc5c5\ud558\uba70 \uc218\uc775\ud654 \uad00\ub828 \ud504\ub85c\uc81d\ud2b8\ub97c \uc8fc\ub3c4 5~7\ub144 \ub0b4\uc678\uc758 \uad00\ub828 \uacbd\ub825 (\uc218\uc775\ud654, \ud504\ub77c\uc774\uc2f1 \uc804\ub7b5, \uc11c\ube44\uc2a4 \uae30\ud68d \ud639\uc740 BM \uc6b4\uc601 \ub4f1) \ub2e4\uc591\ud55c \uc720\ub8cc \uc0c1\ud488 \uad6c\uc870 \ud639\uc740 \ud504\ub77c\uc774\uc2f1 \uc815\ucc45\uc744 \uc9c1\uc811 \uae30\ud68d\ud558\uac70\ub098 \uc6b4\uc601\ud574\ubcf8 \uacbd\ud5d8 \ud2b9\uc815 KPIs(ARPU, \uc804\ud658\uc728, Retention \ub4f1)\uc5d0 \uae30\ubc18\ud55c \uc720\ub8cc\ud654 \uc131\uacfc \ubd84\uc11d \ubc0f \uc778\uc0ac\uc774\ud2b8 \ub3c4\ucd9c \uc5ed\ub7c9 \ubcf5\uc7a1\ud55c \uc0c1\ud669 \uc18d\uc5d0\uc11c\ub3c4 \ubb38\uc81c\ub97c \uad6c\uc870\ud654\ud558\uace0 \uc6b0\uc120\uc21c\uc704\ub97c \uc124\uc815\ud560 \uc218 \uc788\ub294 \ubb38\uc81c \ud574\uacb0 \ub2a5\ub825 \ub2e4\uc591\ud55c \ud300\uacfc\uc758 \uc6d0\ud65c\ud55c \ucee4\ubba4\ub2c8\ucf00\uc774\uc158 \ubc0f \ud504\ub85c\uc81d\ud2b8 \ub9ac\ub529 \uacbd\ud5d8", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/39508325", "isPrivate": false}, {"id": 30029464, "name": "Machine Learning Engineer (Match Group AI | \uc804\ubb38\uc5f0\uad6c\uc694\uc6d0 \ud3b8\uc785/\uc804\uc9c1 \uac00\ub2a5)", "posting_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": 1772514096, "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}], "debug": {}, "count": 13, "countFilterByMatchScore": null, "location_user": ["seoul south korea", "remote,Korea, Republic of"], "location_used": "seoul south korea", "locationInsights": null, "showWizard": 1, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "hyperconnect", "location": "seoul south korea", "department": [], "skill": [], "seniority": [], "pid": ""}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"skills": "count_desc", "departments": "count_desc", "seniority": "count_desc", "work_location_option": "count_desc", "locations": "count_desc"}, "facets": {"skills": {"Python": 32, "Artificial Intelligence": 29, "PyTorch": 24, "Algorithms": 21, "Engineering": 17, "Language": 15, "Android": 15, "Kotlin": 15, "Machine Learning": 14, "Docker": 13, "GitHub": 12, "SQL": 11, "Data Structures": 11, "Transformation": 10, "iOS": 10, "Drafting": 9, "Legal": 9, "Governance Frameworks": 9, "Data Protection": 9, "Consumer Protection": 9}, "departments": {"Hyperconnect": 6, "Match Group": 6, "Tinder": 1}, "seniority": {"Entry": 7, "Mid/Senior": 6}, "work_location_option": {"onsite": 12, "hybrid": 1}, "locations": {"Remote": 999999, "Seoul, Korea, Republic of": 13}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {"postApplyReviewLink": {"enabled": true, "url": "/api/apply/v2/profile/review/initialize_user?domain=gotinder.com", "title": "What's next? Increase your chances of getting hired!", "message": "Knowing more about you helps us review your application faster. Enrich your profile by adding more skills, awards, and other recognition.", "buttonText": "Review my profile", "verifyEmailTitle": "Let's verify your email", "verifyEmailText": "Click the link in the email to continue reviewing your profile. If you do not immediately see the email, check your spam folder."}, "postLoginLink": {"enabled": true, "message": "Candidate Login", "url": "/careerhub/me?action=edit&trackApplicationStatus=false&profile_type=candidate&domain=gotinder.com&customredirect=1&utm_source=Eightfold"}, "trackApplicationLink": {"enabled": true, "message": "Track Application Status", "url": "/careerhub/my/jobs/applications?trackApplicationStatus=true&profile_type=candidate&domain=gotinder.com&customredirect=1&utm_source=Eightfold"}}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": true, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": false, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": false, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": true, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": true, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"prepopulateCheckboxText": "Save my answers for future applications", "showPrepopulateCheckbox": false}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": false, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": true}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}, {"value": "es-419", "title": "Espa\u00f1ol (Latinoam\u00e9rica)"}, {"value": "sk", "title": "Sloven\u010dina"}, {"value": "id", "title": "Bahasa Indonesia"}, {"value": "sr", "title": "\u0441\u0440\u043f\u0441\u043a\u0438"}, {"value": "mk", "title": "\u043c\u0430\u043a\u0435\u0434\u043e\u043d\u0441\u043a\u0438"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}