台北市大安區2年以上大學年薪1,700,000~3,000,000元
【About Us】
We are a profitable and growing company, originating in Silicon Valley and now headquartered in Taiwan. We combine intuitive design with Creative AI tech to create inspiring products for millions of people worldwide.
We offer a fun, creative, and international workplace with competitive compensation, stock options, flexible hybrid work, free lunch, and more.
Ready to make a big impact with a talented team? Come create with us.
【About The Role】
As a Machine Learning Platform Engineer, you will play a key role in designing, implementing, and maintaining robust machine learning platforms and data pipelines, ensuring smooth deployment, scaling, and monitoring of models in production. You will drive automation to accelerate the development, evaluation, and integration of machine learning models, improving collaboration and overall efficiency. In addition to optimizing production environments, you will act as a bridge between machine learning developers and software engineers, ensuring seamless integration of ML systems into applications. You will also share best practices for MLOps and have the opportunity to work on high-impact projects that reach millions of users, as well as help bring innovative new applications to market.
【What You'll Do】
- Design, implement and maintain machine learning platform and data pipelines, ensuring seamless deployment, scaling, and monitoring of models in production environments.
- Set up monitoring systems for deployed models and tracking key metrics.
- Apply and share software engineering best practices within the context of machine learning.
- Collaborate with ML developers to ensure model performance is maintained in production and work with software engineers to integrate ML systems into the broader application stack.
- Accelerate machine learning development, evaluation, and integration speed through automation of workflows, tools, and processes to enhance collaboration and efficiency.
【Skills We’re Looking For】
- Strong programming skills in Python.
- Proficiency with containerization tools (Docker, Kubernetes) and cloud platforms (GCP, AWS, Azure; expertise in at least one).
- Experience working with backend servers and APIs (e.g., FastAPI, Django, or similar frameworks).
- Deep knowledge of the entire ML workflow.
【Nice-To-Haves】
- Experience with machine learning frameworks (PyTorch, TensorFlow).
- Experience with MLOps tools (Kubeflow, MLflow, TFX).
- Experience with monitoring tools (Prometheus, Grafana) and logging frameworks.
- Knowledge of data engineering concepts (ETL pipelines, data lakes, data warehouses).
【Interview process 面試流程】
There are three main stages in our interview process:
- Screen calls (1-2 calls)
- Take-home quiz & review
- Onsite interview (3-4 hours visiting)
If we see a fit with the company, we will reach out to start getting to know each other. You can expect traditional discussions as well as participating situational exercises. The goal of the interview process will be for us to see your skills and let you get to know the team and work culture to see if we are a match.
【Benefits & Culture 公司福利 & 工程師文化】
Invent the future - 一年兩次定期舉辦 Hackday,翻玩最新技術!
Always be learning - 各種內部工作坊(ML/Frontend/Backend/Mobile)、每週五固定新技術分享、Design Demo分享、定期協辦技術社群活動(Cocoaheads Taipei, Android Taipei)
Fun, Creative and International team - 雙語工作環境,團隊成員來自世界各國,辦公室就是小矽谷!
還有還有 ...
Awesome Office 舒服的辦公室
Flexible Work Time & WFH 彈性上下班時間 & 遠端工作
Flexible PTO 彈性休假制度
Free Lunch and Dinner 每日團隊午餐晚餐
PicCafe 各樣零食飲料不怕餓
Sports Classes in Office 辦公室內建 TRX & Yoga 教室
Team Activities and Workshops 各式活動與學習機會
歡迎參考以下連結更多的認識我們!
- Creative AI: https://www.notion.so/2806350a72824eb4a320a9632533a838?pvs=21
- Our New Products: https://picc.co/products
- Life at PicCollage: https://www.youtube.com/channel/UCIVyWO-qWIBQQebwef-s7Cg
- Tech Blog: https://tech.pic-collage.com/