{"id":17891,"date":"2022-05-25T13:53:49","date_gmt":"2022-05-25T13:53:49","guid":{"rendered":"https:\/\/arbrea-labs.com\/?page_id=17891"},"modified":"2026-04-03T07:10:55","modified_gmt":"2026-04-03T05:10:55","slug":"deep-learning-engineer","status":"publish","type":"page","link":"https:\/\/arbrea-labs.com\/ja\/deep-learning-engineer\/","title":{"rendered":"Deep Learning Engineer"},"content":{"rendered":"
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\u4eba\u9593\u306e\u8eab\u4f53\u3078\u306e\u62e1\u5f35\u73fe\u5b9f\u6280\u8853<\/h4>

Deep Learning Engineer<\/h1>\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n\n\t
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\u8077\u52d9\u5185\u5bb9<\/strong><\/h3>\n

As a deep learning engineer at<\/span> Arbrea Labs<\/b>, you will be working at the interface between research and production code, where a wide array of different tasks arise in this unique context. As one of the key employees, you will have a strong influence on how our product will be shaped, giving you, altogether with the team, the opportunity to grow into world leaders in <\/span>Medical<\/b> AR\/VR technology<\/b>. You will work with friendly, passionate, and easy-going team members, who are very willing to offer guidance, have a beer (or two) after work at regular team events. The working environment is quite flexible, with offices in a technology hub, attractive salaries, and employee participation plans.<\/span><\/p>\n

Required Qualifications<\/strong><\/h3>\n