* Lead the ML Team to build the core algorithms of the data products
* Survey papers and coach teammates to accelerate the AI feature development cycles
* Help both the business and engineering sides to evaluate technical feasibility and control stakeholders' expectation
* Collaborate with academic partners and industry partners to build advanced algorithms
* Compile and translate complex, theoretical, or analytics findings into an easily understood illustration
* PhD in Computer Science or Statistics
* 5-10 years of experience leveraging various machine learning algorithms to solve real-world problems with a proven track record of driving business results.
* Excellent understanding of machine learning or statistical data analysis in theory and applications
* Strong collaboration skills with data analysts, data engineers, machine learning engineers to build production-level products
* Applied experience with handling and analyzing large-scale datasets for various industries and application scenarios
* Familiar with Python, scikit-learn, TensorFlow, or PyTorch
* Experience with cloud services such as AWS or GCP
* Ability to establish and maintain internal and external professional networks
* Great presentation skills and academic paper writing
* Professional proficiency in Japanese
* Experience in engineering
* Experience in GIS
* Experience in open-source projects and/or contributions
* Experience in security and privacy-preserving techniques
＝＝＝可以拿來說嘴的福利＝＝＝可以拿來說嘴的福利＝＝＝可以拿來說嘴的福利＝＝＝
● 超強的夥伴！你沒看錯！我們負責找到優秀的人才跟你一起組隊，一起拓荒，不輕易滅團。
● 超方便交通，捷運中山國中站正對面，跑步騎車上班也很方便！
● 到職首年即享有16天特假，入職後第四年起20天特休。我們重視家庭與生活，請多陪陪家人，假期多，請安排好代理人。
● 彈性上下班制度，用餐時間不限，每日做好做滿8小時
● 週休二日、5天全薪病假，給假歸給假，身體是自己的，要好好照顧！
● 不定期提供Free啤酒！新鮮水果！啤酒肚不在保固範圍。
● 桌遊隨意玩，咖啡隨意喝!好康的軟性飲料與零食! 三不五時還有外部廠商的美味試吃活動喔！
● 瑜珈球、健身器材！是的，身為小清新的工作職人，請保持健美的身材。
● 安靜舒適的媽咪專屬哺乳室，有專用冰箱。
● 工業風格的辦公環境與員工休息區。坐在窗邊裝裝文青。
● 愛心視障按摩服務，每次30元愛心捐款，小小的愛心集氣成大大的力量，每年捐贈給特定慈善機構。
● 定期舉辦慈善二手義賣活動，珍惜好物彼此交流，還能自訂捐款金額，一起做好事！
● 為愛朗讀，每年揪團擔任育幼院慈善志工，為孩子們說故事，帶活動，把歡樂帶給大家。
更多福利副本拓荒中...需要更強的人才組隊打王...
＝＝＝下面是基本福利款＝＝＝下面是基本福利款＝＝＝下面是基本福利款＝＝＝
● 職人講堂活動，與各產業神人交流互動好機會
● 不定期員工活動（Team building、聖誕趴、野餐日、漆彈日等）
● 健康檢查
● 中秋端午節禮金
● 生日禮券
