Location: Singapore
We are looking for an Algorithm Engineer to drive the development of core machine learning models powering our advertising system. This role sits within a high-impact, cross-functional team working closely with data engineering and product to deliver scalable, real-time optimization solutions. You will take ownership of key components such as CTR/CVR prediction, ranking, and bidding, directly influencing revenue and campaign performance. The role offers the opportunity to tackle complex challenges in large-scale modeling and high-concurrency systems, while continuously improving ROI/ROAS outcomes. This is an ideal position for someone who enjoys combining deep technical expertise with measurable business impact.
Role & Responsibilities:
- Design and optimize core advertising algorithms, including CTR/CVR prediction, ranking, and bidding strategies
- Develop and enhance large-scale machine learning models to improve campaign performance (ROI/ROAS)
- Build and maintain end-to-end pipelines covering feature engineering, data processing, and model training
- Optimize online inference systems to support high-concurrency real-time bidding (RTB) environments
- Partner with data engineering and product teams to deploy, monitor, and iterate on production models
Job Requirements:
- Bachelor's degree or above in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of experience in machine learning, data mining, or related areas
- Strong foundation in machine learning/deep learning and solid programming skills, with proficiency in at least one of the following languages: C++, Go, or Python
- Experience with large-scale data processing and distributed computing frameworks
- Background in advertising systems (CTR/CVR, ranking, DSP) or related domains is highly preferred
What's On Offer:
At Opera, you'll join a diverse and inclusive team of experienced, supportive professionals who value creativity and collaboration. We work in a flat structure with short decision-making paths, use smart technology, and support your ongoing skill development in a friendly and empowering environment.
Interested
We'd love to hear from you! Applications are reviewed on a rolling basis, so we encourage you to apply soon. Please submit your CV in English. Have questions about our recruitment process, remote work, or benefits Check out our FAQ page for more details.
