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ML Engineer\ub294 \ucd5c\ucca8\ub2e8\uc758 \ubaa8\ub378\uc744 \uc5f0\uad6c\ud558\uace0 \uac1c\uc120\ud558\ub294 \uacfc\ud559\uc790\ub85c\uc11c\uc758 \uc5f0\uad6c \ub2a5\ub825\uacfc, \ub9cc\ub4e4\uc5b4\uc9c4 \ubaa8\ub378\uc758 \uc2dc\uac04/\uacf5\uac04\uc801 \ubcf5\uc7a1\ub3c4\ub97c \uace0\ub824\ud574 \ucd94\ub860 \uc131\ub2a5\uc744 \uadf9\ud55c\uc73c\ub85c \ub04c\uc5b4\uc62c\ub9ac\ub294 \uacf5\ud559\uc790\ub85c\uc11c\uc758 \uac1c\ubc1c \ub2a5\ub825\uc774 \ud544\uc694\ud569\ub2c8\ub2e4. \uc774\ub7f0 \ub2a5\ub825\uc744 \ubc14\ud0d5\uc73c\ub85c \uc2e4\uc81c \uc11c\ube44\uc2a4\uc5d0\uc11c \uacaa\ub294 \ubb38\uc81c\ub97c \ubc1c\uacac/\uc815\uc758\ud558\uace0, \ubb38\uc81c\ud574\uacb0\uc744 \uc704\ud55c SotA \ubaa8\ub378\uc744 \uc7ac\ud604 \ub610\ub294 \uac1c\ubc1c\ud558\uace0, \ubaa8\ub378\uc744 \uc628\ub514\ubc14\uc774\uc2a4 \ubc0f \uc11c\ubc84 \ud658\uacbd\uc5d0 \ubc30\ud3ec\ud558\uace0, \uc774\ud6c4 \ubaa8\ub2c8\ud130\ub9c1\ud558\uba70 \uc9c0\uc18d\uc801\uc73c\ub85c \ubaa8\ub378\uc744 \uac1c\uc120\ud558\ub294 AI flywheel \uc744 \uad6c\ucd95\ud558\ub294 \ub4f1 \ub2e4\uc591\ud55c \uc5c5\ubb34\ub97c \uc218\ud589\ud569\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 \uc801\uadf9\uc801\uc73c\ub85c \ud611\uc5c5\ud558\uba70 \ub3c4\uc6c0\uc744 \ubc1b\uc2b5\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. AI in Social Discovery (Blending Research and Production) [How AI Lab Works] Head of AI - Shurain \uc778\ud130\ubdf0 \uc5f0\uad6c\uc758 \uacb0\uacfc\ubb3c\uc744 \uc815\ub9ac\ud558\uc5ec \ub17c\ubb38 \ud639\uc740 \ucf54\ub4dc\ub85c \uacf5\uac1c\ud558\ub294 \uac83 \ub610\ud55c \ud300 \ubaa9\ud45c \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. \uc81c\ud488\uc5d0 \uc0ac\uc6a9\ud558\uae30 \uc704\ud55c \ubaa9\uc801\uc73c\ub85c \uba38\uc2e0\ub7ec\ub2dd \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\uc640 \uac19\uc740 \ub300\uc678\uc801 \uc5f0\uad6c \uc131\uacfc\ub97c \uac70\ub458 \uc218 \uc788\uc5c8\uc2b5\ub2c8\ub2e4. 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 2021\ub144 \ud074\ub9ad\ub960 \uc608\uce21\uc744 \uc704\ud55c \uc911\uc694\ub3c4 \ubcf4\uc874\uc774 \uac00\ub2a5\ud55c \ud53c\uccd0 \uc815\uaddc\ud654 \uc5f0\uad6c ICDM Workshop Best Paper \uc218\uc0c1 2021\ub144 Tabular Learning \uae30\ubc18 \ud6a8\uc728\uc801\uc778 Click-Through Rate Prediction \ubaa8\ub378 ICLR 2021 Workshop \ubc1c\ud45c 2021\ub144 \ud6a8\uc728\uc801\uc778 Retriever\uae30\ubc18 Chatbot\uc744 \uc704\ud55c Large-Scale Generative \ubaa8\ub378 \ud65c\uc6a9 \uc5f0\uad6c EMNLP 2021 \uac8c\uc7ac 2020\ub144 Long-tailed Visual Recognition \ubb38\uc81c\ub97c Label distribution shift \uad00\uc810\uc5d0\uc11c \ud574\uacb0\ud558\ub294 \uae30\uc220 CVPR 2021 \uac8c\uc7ac 2020\ub144 \ud4e8\uc0f7 \ub7ec\ub2dd\uc744 \ud1b5\ud55c Text-to-Speech(TTS) \uae30\uc220 INTERSPEECH 2020 \uac8c\uc7ac 2019\ub144 \ud4e8\uc0f7 \ub7ec\ub2dd\uc744 \ud1b5\ud55c \uc548\uba74 \uc7ac\ud604 \uae30\uc220 AAAI 2020 \uac8c\uc7ac 2019\ub144 \ubaa8\ubc14\uc77c\uc5d0\uc11c \ube60\ub974\uac8c \ub3d9\uc791\ud558\ub294 \ud0a4\uc6cc\ub4dc \uc2a4\ud31f\ud305 \ubaa8\ub378(TC-ResNet) INTERSPEECH 2019 \uac8c\uc7ac 2019\ub144 \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0 \ucd5c\uc801\ud654\ub41c \uacbd\ub7c9 \uc774\ubbf8\uc9c0 \uc138\uadf8\uba58\ud14c\uc774\uc158 \ubaa8\ub378(MMNet) \uc544\uce74\uc774\ube0c \uc5c5\ub85c\ub4dc 2018\ub144 \uc800\uc804\ub825 \uc774\ubbf8\uc9c0 \uc778\uc2dd \ub300\ud68c (LPIRC) 2\ub4f1 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. \ud558\uc774\ud37c\ucee4\ub125\ud2b8\uc5d0\uc11c\ub294 ML engineer\ub4e4\uc774 \ucda9\ubd84\ud788 \ubaa8\ub378 \uac1c\ubc1c \ubc0f \uc2e4\ud5d8\uc744 \uc9c4\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \uc790\uccb4\uc801\uc778 \ub525\ub7ec\ub2dd \uc5f0\uad6c\uc6a9 \ud074\ub7ec\uc2a4\ud130\ub97c \uad6c\ucd95\ud558\uc5ec \ud65c\uc6a9\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. DGX-A100 20\ub300\ub85c \uad6c\uc131\ub41c \ud074\ub7ec\uc2a4\ud130(\ucd1d 160\ub300\uc758 A100 GPU)\ub97c \ud3ec\ud568\ud55c \ub2e4\uc591\ud55c on-premise \uc7a5\ube44\ub4e4\uc744 \uc5f0\uad6c\uac1c\ubc1c\uc5d0 \ud65c\uc6a9\ud560 \uc218 \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. \uc5c5\ubb34 \ub0b4\uc6a9 \uc0ac\uc6a9\uc790 \uacbd\ud5d8\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud574 \uc0ac\uc6a9\uc790\uc758 \ud2b9\uc131\uc744 \uc774\ud574\ud558\uace0 \ud65c\uc6a9\ud558\ub294 \uc5f0\uad6c \uac1c\ubc1c\uc744 \uc218\ud589\ud569\ub2c8\ub2e4. \ubaa8\ubc14\uc77c \ubc0f \uc11c\ubc84 \ud658\uacbd\uc5d0\uc11c \uc601\uc0c1\uc774\ub098 \uc774\ubbf8\uc9c0, \uc74c\uc131 \ubc0f \uc790\uc5f0\uc5b4\ub85c \uad6c\uc131\ub41c \ube44\uc815\ud615 \ub370\uc774\ud130 \ubc0f \uc720\uc800\uc758 \ud589\ub3d9 \ub85c\uadf8\ub85c\ubd80\ud130 \uc720\uc6a9\ud55c \uc815\ubcf4\ub97c \ucd94\ucd9c\ud558\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \ubb38\uc81c\ub97c \ud568\uaed8 \ud480 \uc218 \uc788\ub294 \ubd84\ub4e4\uc744 \ucc3e\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ubc14\uc77c \ud658\uacbd\uc5d0\uc11c \uc9e7\uc740 latency\uc640 \ub192\uc740 \uc131\ub2a5\uc744 \uc720\uc9c0\ud558\ub294 \uacbd\ub7c9 \ubaa8\ub378 \ucd5c\uc801\ud654\uc5d0 \ub300\ud55c \ubb38\uc81c \uc11c\ub85c \ub2e4\ub978 \ub3c4\uba54\uc778\uc5d0\uc11c \uc218\uc9d1\ub41c \ub370\uc774\ud130 \uac04\uc758 \ucc28\uc774\ub97c \uadf9\ubcf5\ud558\ub294 domain adaptation \ubb38\uc81c Multi-task \ud639\uc740 multi-label \ubd84\ub958 \ubaa8\ub378\ub9c1\uc5d0 \ub300\ud55c \ubb38\uc81c Unlabeled \ub370\uc774\ud130\ub97c \ud65c\uc6a9\ud55c semi-supervised learning, self-supervised learning \ubb38\uc81c Multi-modal \ub370\uc774\ud130\ub97c \ud65c\uc6a9\ud558\ub294 \ubb38\uc81c \uc0ac\uc6a9\uc790 \ud589\ub3d9 \ub85c\uadf8\uc640 content understanding \uacb0\uacfc\uc5d0 \uae30\ubc18\ud55c \uc720\uc800 \ud589\ub3d9 \ud328\ud134\uc744 \ud30c\uc545\ud558\ub294 \ubb38\uc81c \ub610\ud55c, \uc81c\ud488\uc5d0 \ud3ec\ud568\ub418\ub294 AI \uae30\uc220\uc744 \uc5f0\uad6c\ud558\uae30 \uc704\ud55c \ub178\ub825\ub4e4\ub3c4 \uafb8\uc900\ud788 \uc9c4\ud589\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc591\ud55c prototyping\uc744 \uc9c4\ud589\ud558\uc5ec \ube60\ub974\uac8c \uae30\uc220\uc758 \uc2e4\ud604 \uac00\ub2a5\uc131\uc744 \ud310\ub2e8\ud558\uace0, \uc81c\ud488\ud654 \uc774\ud6c4 \uc2dc\uc2a4\ud15c\uc758 \uc9c0\uc18d\uc801\uc778 \uac1c\uc120\uacfc \uc131\uc7a5\uc744 \uc774\ub044\ub294 AI flywheel\uc744 \uad6c\ucd95\ud558\uae30 \uc704\ud574 \ub2e4\uc74c\uacfc \uac19\uc740 \ubc29\ubc95\ub4e4\uc744 \ucc3e\uc544\ub0bc \uc218 \uc788\ub294 \ubd84\ub4e4\uc744 \ucc3e\uace0 \uc788\uc2b5\ub2c8\ub2e4. Highly imbalanced \ub610\ub294 noisy label \ub370\uc774\ud130\ub97c \ub2e4\ub8e8\ub294 \ubc29\ubc95 \uae30\uc874\uc5d0 deploy\ub41c \ubaa8\ub378\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \uac1c\uc120\ud560 \uc218 \uc788\ub294 continual/life-long learning \ubc29\ubc95 \ubaa8\ub378 task \uc694\uad6c\uc0ac\ud56d\uc758 \ubcc0\ud654\uc640 \uc2e0\uaddc \uc11c\ube44\uc2a4\uc5d0 \ub300\uc751\ud560 \uc218 \uc788\ub294 meta-learning \ubc29\ubc95 Large scale model\uc744 \ud559\uc2b5\ud558\uace0, \uc2e4\uc81c \uc11c\ube44\uc2a4 \ud658\uacbd\uc5d0\uc11c \ucd08\ub2f9 \uc218\ubc31 \ub610\ub294 \uc218\ucc9c \uac1c\uc758 \uc785\ub825\uc744 \uc548\uc815\uc801\uc73c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\ub3c4\ub85d \ud560 \uc218 \uc788\ub294 \ubaa8\ub378 \ucd5c\uc801\ud654 \ubc0f distillation \ubc29\ubc95 ML \ud504\ub85c\ub355\uc158 \ud504\ub85c\uc138\uc2a4\ub97c \ud601\uc2e0\ud558\uae30 \uc704\ud574 large language models \ubc0f vision-language models\ub97c \ud65c\uc6a9\ud558\ub294 \ubc29\ubc95 \uc9c0\uc6d0 \uc790\uaca9 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, 3\ub144 \uc774\uc0c1\uc758 \uad00\ub828 \ud504\ub85c\uc81d\ud2b8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc9c0\uc18d\uc801\uc778 \uc8fc\ub3c4\uc801 \ud559\uc2b5\uc744 \ud1b5\ud574 \ud300\uc758 AI/ML\uc744 \ud3ec\ud568\ud55c \uae30\uc220\uc801 \uacbd\uc7c1\ub825\uc744 \ub9cc\ub4e4\uace0 \uc720\uc9c0\ud558\uac8c \ub3c4\uc640\uc8fc\uc2e4 \uc218 \uc788\ub294 \ubd84 \ubcf4\ud1b5\uc758 \ubc29\ubc95\uc73c\ub85c \ud480 \uc218 \uc5c6\ub294 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc81c\uc57d \uc870\uac74\uc744 AI \ubaa8\ub378\ub9c1 \ub2a5\ub825\uacfc \uc18c\ud504\ud2b8\uc6e8\uc5b4 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc804\ubc18\uc5d0 \ub300\ud55c \uae4a\uc740 \uc218\uc900\uc758 \uc774\ud574\ub97c \ubc14\ud0d5\uc73c\ub85c \ud574\uacb0\ud560 \uc218 \uc788\ub294 \uc5ed\ub7c9\uc744 \uac16\ucd98 \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 ML \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\uace0 \uc2e4\uc81c \uc11c\ube44\uc2a4\uc5d0 \ubc30\ud3ec\ud558\uae30 \uc704\ud574, \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\uacfc \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \uc5ed\ub7c9\uc744 \uac16\ucd94\uc2e0 \ubd84 \uad6c\ud604\uccb4\uac00 \uacf5\uac1c\ub418\uc5b4\uc788\uc9c0 \uc54a\uc740 \ub17c\ubb38\uc744 \uc2a4\ud06c\ub798\uce58\ubd80\ud130 \ube60\ub974\uace0 \uc815\ud655\ud558\uac8c \uad6c\ud604\ud574 \ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ub2e4\ub978 ML \uad00\ub828 \uc9c1\uad70 \uc5d4\uc9c0\ub2c8\uc5b4 \uc758 \uc131\uc7a5\uc744 \ub3c4\uc640\ubcf8 \uacbd\ud5d8\uc774 \uc788\uac70\ub098, \uad00\ub828\ud55c \uc5ed\ub7c9\uc744 \uac16\ucd94\uc2e0 \ubd84 \ud559\uc704\ub098 \uad6d\uc801\uc740 \ubb34\uad00\ud558\ub418, \ud55c\uad6d\uc5b4\uc640 \uc601\uc5b4\ub85c \uc6d0\ud65c\ud55c \uc758\uc0ac\uc18c\ud1b5\uc774 \uac00\ub2a5\ud55c \ubd84 \uc6b0\ub300 \uc0ac\ud56d \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 \uacf5\uac1c\ub41c \ubca4\uce58\ub9c8\ud06c \ub370\uc774\ud130 \uc14b\uc5d0\uc11c SotA\ub97c \ucc0d\uc5b4\ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \ud074\ub77c\uc774\uc5b8\ud2b8(Android, iOS), \ubc31\uc5d4\ub4dc\ub97c \ud3ec\ud568\ud574 AI/ML \ubd84\uc57c \uc678 \uac1c\ubc1c \uacbd\ud5d8\uc774 \ud48d\ubd80\ud558\uc2e0 \ubd84 \uae30\uacc4\ud559\uc2b5 \uad00\ub828 \uc624\ud508 \uc18c\uc2a4 \uac1c\ubc1c\uc5d0 \ucc38\uc5ec\ud574 \ubcf8 \uacbd\ud5d8\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 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 \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 \ud65c\uc6a9\ud574\ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 \uc5d4\uc9c0\ub2c8\uc5b4\ub9c1 \ud300\uc744 \ub9ac\ub4dc\ud574\ubcf8 \uacbd\ud5d8\uc774 \uc788\uc73c\uc2e0 \ubd84 $ - $ a year None \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", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/22203755", "isPrivate": false}], "isFallback": false, "debug": {}, "count": 1, "personal_message": "We thought you would be interested in this position.", "scheduling": {"minTime": 9, "limit": 10, "maxTime": 17, "increments": 60, "minTimeslots": 3}, "userTitles": [], "enableTargetedResume": 0, "query": {"query": "", "location": "", "department": [], "skill": [], "seniority": [], "pid": "22203755"}, "singleview": true, "see_all_jobs": true, "recommended_star_threshold": 4.0, "chatbot": false, "iframeImplementation": null, "pcsApplyFormV2Enabled": false, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsTextConfiguration": {}, "hideDepartment": null, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": true, "readmoreInstructionEnabled": false, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "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."}}, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"prepopulateCheckboxText": "Save my answers for future applications", "showPrepopulateCheckbox": false}, "candidateBuildProfile": {}, "enhancementsEnabled": false, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": false, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": false, "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": false}}}, "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"}], "displayLanguage": "en", "installed_app_data": [], "singlePageCareersNavbarGate": false, "customJobDescTranslationSkipList": []}