Bubble up!

Started in a small Beijing courtyard, Bubbleye is a fast growing AI startup now established in Taipei.

We are solving mobile user acquisition inefficiencies through automation and inferential algorithms. And to achieve that, we pick the best of the best. A selected team with an international DNA, a very open culture mix across nations and continents, driven by the same powerful motive: passion for innovation and growth, guts to disrupt, and skill to implement.

We are now aggressively growing our product and business, which is why we need you: a talented and passionate individual excited to learn and build awesome tech.

Apply below or send us your CV at hr@bubbleye.com

Machine Learning Engineer

Does diving into data thrill you? Join Bubbleye and work in an exciting startup environment, boosting our machine learning projects, namely fraud shielding and campaign targeting.

We’re looking for an individual with proven long term experience in the design and implementation of statistical models including NLP, neural networks, deep learning.

Responsibilities include designing advanced models to fit real-time continuous data. Formulating hypotheses, experiments and explanations for proof of concepts. Finally, you will assist the backend team to implement your elegant solutions.


  • Past experience building machine learning models
  • Natural Language Processing
  • Python, R, Spark
  • PhD or Masters degree in Statistics, Mathematics or Computer Science

Operation Assistant

You will support the execution and optimization of Bubbleye’s upstream channel campaigns, and help our automation team optimize strategies and processes.

Responsibilities include monitoring and optimizing multiple advertising campaigns (preparing tracking links and other campaign materials, testing and managing rich media/video contents, support inbound and outbound communication with customers and partners to coordinate and manage KPI negotiation and configuration tuning, generate and distribute performance reports, work with dev team to continually improve targeting and optimize strategies.


  • Experience working in the field of display advertising, digital marketing or equivalent
  • Direct experience with traditional mobile advertising networks
  • Basic understanding of install attribution and mobile app tracking
  • Knowledge and focus on marketing analytics and ROI
  • Data-driven approach, precise and meticulous attitude