As a MLOps engineer, you will be responsible for designing, building, and maintaining production-grade machine learning pipelines, as well as sharing the best practice of MLOps to other team members. You will help deploy state of the art AI technology, build tools, and act as the bridge between application developers and machine learning research. You will have the opportunity to work on applications with millions of active users, as well as bring brand new applications to market.
After you submit your application, the next steps are one or two video interview calls (with short written questions), followed by an onsite interview. Our interview process includes interesting exercises with our team members (e.g. pair programming, design brainstorming). Through this process, we hope you can get to know what it's like to work with us, and get to know our team and culture!
嗨！我們是來自矽谷的新創團隊 PicCollage 拼貼趣，主要產品『PicCollage』是一個追求自由創造及分享的照片拼貼app，主要使用者來自美國、英國及日本等國家。目前全球下載量已突破 3 億，每個月 1500 萬穩定用戶量，並且持續增長中！
在PicCollage 拼貼趣團隊我們鼓勵自由創造，擁抱差異與多元文化，致力於打造『開放、學習、分享』的工作環境。另外，我們的新產品團隊近期以『影音編輯』作為開發重點，運用 Generative AI, Machine Learning、Data Analytics等技術，致力打造使用者友善，可以輕鬆上手的 app，再戰繼 PicCollage App 之後的下一個產品里程碑！
期待遇見更多 #builders #dreamers #thinkers 來激盪創意，加入 PicCollage 和我們一起做出富有創意、好玩的軟體產品到全世界 🌏