hyperconnect jobs in Match Group

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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. 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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": 38579349, "name": "APAC Sr. Localization Program Manager (Tinder Korea)", "posting_name": "APAC Sr. Localization Program Manager (Tinder Korea)", "location": "Seoul, South Korea", "locations": ["Seoul, South Korea"], "hot": 0, "department": "Match Group", "business_unit": "MG APAC", "t_update": 1775710994, "t_create": 1761115050, "ats_job_id": "0152fd07-2715-4fe1-a208-af9d03c0b358", "display_job_id": "R0004659", "type": "ATS", "id_locale": "R0004659-en", "job_description": "Drive regional localization execution and strategy alignment: Own the end-to-end localization program for APAC, translating global strategy into regional priorities and scalable programs. Act as a regional thought partner: Collaborate with the Sr. Cross-functional leadership: Build strong relationships with Product, Engineering, Marketing, Design, and Data to integrate localization into roadmaps and launch cycles, influencing decisions with regional insights. Partner with regional Marketing leads and the VP of APAC Marketing to support Go-To-Market Asia efforts\u2014ensuring on-time delivery of localized assets, efficient production workflows, and seamless execution of high-impact campaigns across markets. Optimize localization operations: Assess and refine workflows, tools, and automation (TMS, CAT, QA automation, connectors) to enhance efficiency, transparency, and quality. Support internationalization efforts: Partner with engineering to identify and address i18n issues, ensuring scalability and long-term product readiness across languages. Program governance: Establish and track KPIs to measure localization performance, cost efficiency, and quality outcomes. Vendor and resource management: Oversee localization vendors and freelance linguists, driving accountability, innovation, and high-quality output. Mentorship and enablement: Collaborate closely with Language Managers and other Program Managers to ensure alignment, mentorship, and consistent process execution across regions. Cultural intelligence: Stay ahead of cultural trends, linguistic shifts, and user behaviors across APAC markets to guide creative and product decisions. 5+ years of experience in localization program management, international operations, or a related function within a tech, product, or global brand environment. Proven success managing complex, multi-market localization programs across APAC. Deep understanding of localization technology ecosystems (TMS, CAT, QA automation) and internationalization fundamentals. Strong program management skills \u2014 from scoping and prioritization to stakeholder communication and risk mitigation. Experience influencing product and marketing decisions through data, insights, and user empathy. Excellent cross-functional communication skills and a collaborative mindset; comfortable working across technical and creative teams. Self-starter with strong ownership, adaptability, and attention to detail. Fluent in English", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38579349", "isPrivate": false}, {"id": 30029468, "name": "Senior Machine Learning Engineer (Match Group AI)", "posting_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": 1775710994, "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, 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\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": 10, "countFilterByMatchScore": null, "location_user": "any", "location_used": "", "locationInsights": null, "showWizard": 1, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "hyperconnect", "location": "", "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": {"Artificial Intelligence": 37, "Python": 31, "Kotlin": 21, "Machine Learning": 20, "Android": 18, "PyTorch": 18, "Docker": 17, "Algorithms": 16, "Data Structures": 16, "SQL": 15, "GitHub": 14, "Java": 12, "Language Modeling": 11, "gRPC": 9, "TypeScript": 9, "React": 9, "API": 9, "Deep Learning": 9, "Neural Networks": 9, "NoSQL": 9}, "departments": {"Hyperconnect": 6, "Match Group": 4}, "seniority": {"Entry": 5, "Mid/Senior": 5}, "work_location_option": {"onsite": 9, "hybrid": 1}, "locations": {"Remote": 999999, "Seoul, Korea, Republic of": 10}}, "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? 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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": [], "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": 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, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "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, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}