Job Description

Machine Learning Engineer 在 Gogolook 將負責利用資料分析及機器學習進行內部資料的探索,你可以盡情展現你的專業技能,提供決策建議,協助團隊解決各種有挑戰性的問題。此外也會需要和團隊其他職能一起協同 co-work。
加入團隊後的主要任務:
1. With business requirements, collect logs, extract features, and build machine learning models
2. Feature engineering for machine learning
3. A product mindset - ask and address the most important analytical questions with a view on enhancing product impact

Requirements

1. 3+ years of experience in one or more of the following areas: recommendation systems, machine learning, data mining or artificial intelligence
2. Advanced SQL skills and/or other query DSL
3. Experience with common analysis tools - SQL, R, and Python
4. Experience in one or more of the Big Data related technologies, such as Hadoop, Hive, Spark, ElasticSearch, MySQL, MongoDB, HBase, Presto, etc
5. Experience in working with cloud service such as AWS, GCP
6. Experience with machine learning and deep learning framework, such as Scikit-learn, TensorFlow, PyTorch, etc
7. A solid understanding of both probability and statistics

加分條件
- 具備深度學習模型建構/驗證模型效益與 Kaggle 實戰經驗者尤佳
- 不要考慮了,趕快加入 Gogolook,我們走著瞧!

Salary

70K ~ 130K TWD/month

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Whoscall (Gogolook)

台北市中正區羅斯福路二段

About us

以信任為核心的產品

Gogolook 是一間座落於台灣台北的行動服務創新公司,成立於 2012 春天,成員由來自於台灣,香港,韓國,巴西,泰國等地的軟體創新人才所組成的跨國跨文化團隊。我們的企業願景與核心目標為透過快速且不間斷地服務創新以及使用者為中心的設計理念,建立全球行動裝置上最值得信賴的人際溝通網絡。

Whoscall, Gogolook 最具代表性的產品,擁有全球超過7億筆電話資料庫訊息,並提供行動用戶最即時的來電辨識服務。目前Whoscall已經於全球智慧型手機上累積了超過5,000多萬用戶,每個月辨識數十億通陌生來電,服務範圍自台灣拓展至韓、日本、香港、泰國、馬來西亞、印尼、巴西、美國及其他地區,為東亞地區最大的電話號碼資料庫。Whoscall服務除了可以警示惡意與推銷來電之外,資料庫中也提供了豐富的商家營業資訊,並已成功的協助數千萬的商家透過來電辨識功能取得行動用戶的信賴。並於2015年底宣布升級三大功能:Whoscall Card、行動查號台與Whoscall精選,成為用戶的個人通話管家。

應該加入Whoscall的理由

1.有影響力的產品:我們打造的不僅是APP,而是為社會創造價值與防禦詐騙的功能性產品
2.重視自我成長:我們鼓勵技術性社群活動,補助國內外研討會門票,讓學習獲得更大的支援
3.討論與合作的文化:我們尊重每位同仁的專業意見,也鼓勵團隊成員互相討論,激發創意且有商業模式的想法,進而打造出令人滿意的產品
4.透明的文化:我們將公司的資訊,透明的儲存在雲端平台(Wiki),每位成員都能閱讀、給予註解,並且成為參與提案的一份子

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