【工程部】人工智慧工程師 AI Engineer

At CMoney, our mission is to assist people in their lifelong investment. To this end, we have already launched several services and apps to help users make decisions on different matters. CMoney has the most popular stock mobile app and stock forum in Taiwan. So far our stock forum has had more than 450k monthly active users, and all of our products have had almost 3 million monthly active users. Everyday more than 100k articles and messages emerge from our apps and forum. Meanwhile, we collaborate with 50+ investment KOLs to help users succeed in investment. Currently, CMoney is at the fast-growing stage, and thus we are looking for brilliant talents to join our team, especially the ones with integrity, high social interest and a growing mindset. For more detail of CMoney, please refer to the following link: https://cmy.tw/00BWhP .

In order to enhance our products, our AI team focuses on employing large language models on some natural language processing tasks including text classification, automatic summarization, intent recognition, and content generation. Our AI team is also responsible for developing and establishing cross-product recommendation systems so that our products can offer better experience for the users. Two landing applications of our recommendation systems are the personal feed and personal push notification of our stock forum. Moreover, our AI team has to design the scheme of lifelong machine learning to sustain our AI-powered services. If you not only love to keep track of the latest trend of AI/NLP development and techniques but also are passionate about implementing the relevant algorithms by yourself, we welcome you to join us.

As such, you will:
- Design, develop, train, and integrate AI models to our services or products
- Analyze and diagnose the problems and bottlenecks of current AI models
- Collaborate with other product and data teams to propose and provide better solutions
- Make CMoney service more intelligent, and make CMoney data more beneficial to the community
- Last but not least make our customer success

1. BS/MS/Ph.D in EE, CS, IM, Statistics, and Applied Math or related field
2. Familiar with at least one of the following machine learning frameworks: Weka, Scikit learn, Spark, PyTorch, and Tensorflow
3. Ability to collect the data, train models, fine-tune models, and deploy models
4. Broad knowledge of deep learning, machine learning, statistics, and optimization
5. Experience in training on large-scale (TB) datasets and training on distributed environment is a plus