Software Engineer (Machine Learning)

工作內容

Buyandship致力於為客戶提供最一致,最高效的服務,並成為亞洲領先的電子商務跨境物流,我們在超過11個國家擁有了100多萬的用戶。

Buyandship的使命是在全球創造一個無邊界的購物體驗,無論你身在何處,你能夠從世界各地的任何網站購買商品,多國貨件合併安全便捷,派送安排迅速,收費透明。我們以優質及高效率的服務來滿足客戶的需求,幫助會員節省海外網購的時間及成本,破除地區性的界限。

我們期待您的加入,一起讓大家用最少的錢錢將喜愛的產品送回身邊!

Meet Our Team and Join Our Excitement!

 

★ Responsibilities

As part of the new Data Science team, you will be working with data scientists, data engineers and software engineers on our next generation of ML-powered services. With over 1 million users and huge amounts of data being processed every day, you will be working on a variety of real-world challenges such as recommendation systems, product matching and price comparison, logistics resource allocation and fraud detection, and many other intelligent applications you can think of. You will also be involved in designing and implementing the infrastructure (AWS) to support such systems. It is a challenging but rewarding role. If you want to make a difference in your career then you should apply for this role.

 

條件要求

★ Qualifications

- Degree in Computer Science or related discipline

- At least 2 years experience in ML/AI software development (or 3-4 years experience in backend development)

- Experience in building scalable and fault-tolerant machine learning systems

- Strong knowledge in Python and machine learning frameworks (e.g. Scikit-learn, XGBoost and PyTorch)

- Solid experience with relational databases (MySQL/PostgreSQL)

- Experience with AWS Machine Learning services (e.g. SageMaker, Personalize and Rekognition) is a plus

- Strong problem-solving skills and ability to work independently

- Attention to detail, a can-do attitude, and love learning new technologies and open-source projects

遠端型態

完全遠端面試
部分遠端工作

員工福利

法定項目

勞保、健保、特別休假、勞退、婚假

其他福利

✈️ 職涯規劃|轉調 Buyandship 全球辦公室的機會,挑戰自己的國際視野

✈️ 工作環境|開放式廚房,各類咖啡茶飲零時無限量供應!

✈️ 工作時間|彈性上下班時間,讓你不用擔心遲到 ⏰

✈️ 工作風氣|我們是扁平式高速成長的公司,無辦公室政治,你能說你想說的話

✈️ 休假規定|連假周末不補班(該放假就放假,別鬧了),放生日假 (開心休息,開心上班)

✈️ 你的夥伴|年輕熱血的團隊,互相尊重、講求效率與信任

✈️ 個人進修|可申請與公司技術相關研討會、讀書會、論壇、線上課程或購買工具書

薪資範圍

NT$ 70,000 - 110,000 (月薪)