1 день назад
Senior Algorithm Engineer (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Algorithm Engineer (Machine Learning): Building and deploying large-scale machine learning models for real-time bidding, bid optimization, price prediction, win-rate prediction, and auction strategy with an accent on low-latency, high-throughput production systems. Focus on taking models from research through A/B testing, monitoring, and optimization while analyzing marketplace data and mentoring engineers.
Location: Taipei, Taiwan; hybrid work with 3 days in the office
Company
provides performance advertising technology and an ad platform that helps businesses grow and publishers increase audience and revenue.
What you will do
- 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 models serving low-latency, high-throughput real-time bidding traffic.
- Analyze auction and marketplace data to identify modeling opportunities and deliver measurable business impact.
- Collaborate with Product, Engineering, and Business teams on scalable machine learning solutions.
- Mentor junior engineers and contribute to technical design reviews, code reviews, and 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 and experience developing production machine learning systems.
- Proven ability to move models from prototype to scalable, high-performance production environments.
- Experience using AI coding tools such as Claude Code or Cursor.
Nice to have
- Experience in recommendation systems.
Culture & Benefits
- Hybrid work model with 3 days in the office and the option to come in more often.
- Comprehensive benefits and location-specific perks.
- Well-being support and a fully stocked kitchen.
- Opportunity to work with major publisher partners and advertiser clients.
- Inclusive workplace committed to diversity and equal opportunity.
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