Machine Learning Engineer

Updated 13 days ago

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!

Interview process

Apply via our Jobsite for better response time.

2
1.2M ~ 1.8M TWD / year
100% Remote Work
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About us

【關於Gogolook】

信任科技(TrustTech)公司 Gogolook(走著瞧股份有限公司)成立於2012年,以「Build for Trust」為核心,建立由AI與數據驅動的全球化數位防詐與風險管理解決方案(Risk Management as a Service),從多元通訊、金融科技到企業SaaS服務,打造不同應用場景的信任賦能科技。Gogolook 與台灣警政署刑事局、韓國金融監督院、泰國警政單位、日本福岡市政府、馬來西亞雪蘭莪州政府共同防範詐騙問題,以東亞與東南亞最大的號碼資料庫為基礎為打造「零詐騙環境」。

Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, SaaS and Web3, Gogolook creates trustworthy empowerment with the use of technology in various fields.

Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce, the Fukuoka city government, and the Malaysia Selangor state government to fight fraud and ultimately, to build a trustworthy communication network with the largest database in East Asia and Southeast Asia.


【應該加入Gogolook的理由】

1.有影響力的產品:我們打造的不僅是單一產品,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.進行發揮的舞台: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,公開分享至全體,每位成員都能閱讀與回饋,並且成為參與提案的一份子


【創辦故事】

- 2010年7月:Whoscall 首次上架Google Play 平台
- 2013年12月:LINE 母公司 NAVER以新台幣5.29億元投資 Gogolook
- 2014年12月:Whoscall iOS 版上架
- 2015年2月:收購香港小熊來電 App
- 2016年7月:與台灣刑事局165簽訂合作備忘錄,協同165反詐騙專線打擊詐騙
- 2017年7月:與韓國金融監督院、警察廳簽訂合作備忘錄
- 2018年2月:Whoscall 全球用戶破6,000萬,獲得國泰私募基金超過3億投資
- 2019年12月:推出「Whoscall市話版象卡來」服務,讓家用電話遠離詐騙和騷擾
- 2020年7月:與日本福岡市政府開啟合作,共同防範詐騙問題
- 2020年9月:推出金融科技平台「貸鼠先生」
- 2020年9月:創辦人郭建甫榮獲第四屆總統創新獎
- 2020年10月:獲全球最大砷化鎵晶圓代工廠穩懋半導體投資
- 2020年11月:可疑訊息查證機器人美玉姨加入 Gogolook
- 2021年10月:與泰國警方簽署合作備忘錄,正式開啟防詐合作
- 2021年11月:Whoscall全球下載突破1億次


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