We are ahead of the global race to fix mobile user acquisition, with unique tech and talent
Led by industry veterans hailing from Europe, USA and Asia, Bubbleye is a fast growing AI startup with R&D headquarters in Taipei and biz dev teams working across the globe.
We are solving mobile user acquisition inefficiencies through automation and inferential algorithms. And to achieve that, we pick the best of the best. A select team with an international DNA, a very open culture mix across nations and continents, driven by the same powerful drive: a passion for innovation and growth, guts to disrupt, and skills to implement.
Our team hails from Italy, Taiwan, USA, and the UK. We are a batch company of MOX Accelerator and raised institutional VC funding in Silicon Valley, Singapore and Taiwan, to grow faster than ever.
”At Bubbleye’s core is trust, respect and passion for growth. We are looking for people who share our values and want to build wonderful products upon them.
James O'ClaireBubbleye COO
Backend Engineer
Blazing fast and clean APIs are your thing? Join us and strengthen our software backbone, handling thousands of requests per second. Speed, Stability and Maintainable Code is your mantra. Work closely with our data engineers and DevOps to guarantee highly available, fast and fully tested features.
We are looking for a software engineer with a focus on the following areas:
- Backend programming (Java, Scala)
- RESTful API design & consumption
- Relational database design & optimization
- Software architecture design, build and maintain
- Scala functional libraries: Cats, Circe, Doobie, Http4s
- Domain knowledge for mobile advertising
- NoSQL experience
- AWS services (EC2, S3, Athena)
- GraphQL
Data Engineer
Bubbleye’s technology helps clients adjust their advertising settings in realtime, to achieve the highest possible returns. Our job is to crunch massive volumes of real time signals and take corrective actions responsively.
The foundation of such a system is solid, always available, reliable data. Which can be a challenge when different clients store data in different systems and expose it in different formats and with different granularity. That’s why we data ninjas to ensure the data in our system is correct, quickly available and secure at all times.
Your ideal traits:
- 5+ years of experience in a Data Engineer role
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and AWS Athena
- Experience building processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience with AWS cloud services
- Experience with object-oriented/functional languages: Python, Java, Scala, etc.
- Strong problem solving skills and ability to work independently
Data Scientist
Bubbleye’s industry leading AI works relentlessly for hundreds of clients, crunching realtime data and intelligently improving each client’s advertising settings across multiple channels, to generate the highest possible ROI.
Different optimization approaches and algorithms are suited to different situations, and solve different problems. That’s why our R&D team closely monitors data across diverse advertising campaigns, and continuously looks for new patterns and new algorithms to ensure success in every possible situation. We want YOU to join our R&D team and contribute your experience, outside-the-box thinking and skill to continuously increase our automation’s effectiveness.
Your ideal traits:
- 5+ years of experience processing data to generate meaningful insights
- Deep understanding of machine learning techniques and algorithms, such as regressions, k-NN, Naive Bayes, SVM, Decision Forests, Boosting, Deep Learning, etc.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. (excellence in at least one of these is highly desirable)
- Experience developing A/B testing and evaluating model quality
- Experience visualizing/presenting data for stakeholders using: Google Sheets, Tableau, D3, ggplot, etc.
- Coding knowledge and experience with common query languages: R, Python, SQL
- Data-driven approach, precise and meticulous attitude
- Strong math skills (e.g. statistics, algebra)
- Strong problem solving skills
- Domain knowledge in the mobile advertising space (familiarity with tracking links, postbacks, post-install events etc.)
- Experience with data analytics frameworks (e.g. Hydra, Google BigQuery, Presto, etc.)
