2 months ago
Taipei, TaiwanSenior
Responsibilities
- Design, train, and deploy machine learning models for CTR, CVR, and value prediction.
- Own the machine learning lifecycle from research and prototyping through production deployment, A/B testing, monitoring, and optimization.
- Build and evolve large-scale ML models serving low-latency, high-throughput production traffic.
- Analyze auction and marketplace data to identify modeling opportunities and produce measurable business impact.
- Partner with Product, Engineering, and Business teams to develop scalable machine learning solutions for marketplace goals.
- Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.
Requirements
- 4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production.
- MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field.
- Strong foundations in machine learning, optimization, and statistical modeling.
- Strong software engineering skills in Python or Java, with experience developing production ML systems.
- Ability to take machine learning models from prototype to scalable, high-performance production environments.
- Experience using AI coding tools such as Claude Code or Cursor.
- Experience in recommendation systems is a bonus.
Benefits
- Comprehensive benefits, a fully stocked kitchen, and location-specific perks.
- Hybrid work model with 3 days in-office and the option to come in more often if desired.
Categories
About Taboola
Taboola builds an AI-driven native advertising and content recommendation platform for publishers, advertisers, and device makers, including the Realize ad-buying platform. The public company, founded in 2007 and headquartered in New York, trades on NASDAQ and FRA, partners with publishers such as NBC News and Yahoo and OEMs like Samsung and Xiaomi, and its network reaches roughly 600 million daily active users.