Principal Algorithm Engineer

About the role

OPERA Technology Singapore is hiring a Principal Algorithm Engineer for its advertising business in Singapore. The role covers end-to-end development of ad-ranking models, data pipelines and inference services, working closely with engineering teams.

Key responsibilities

• Design, train and optimise core ad-ranking models (CTR, CVR, CPA) and implement smart bidding and cold-start strategies.
• Build and maintain offline data pipelines, feature engineering workflows and online low-latency inference services.
• Design and run A/B tests, analyse experiment metrics and iterate on models based on performance feedback.
• Work with engineering teams to improve inference latency, throughput and model-serving reliability under high concurrency.
• Track and apply state-of-the-art machine learning techniques such as multi-task learning and sequential models.

Required profile

• Bachelor's degree or above in Computer Science, Data Science, Statistics, Mathematics or a related technical field.
• Strong foundation in machine learning and deep learning, with understanding of ranking and recommendation architectures (e.g. DeepFM, DIN, MMoE).
• Bonus: prior experience in ad tech, search or recommendation systems, or in optimising high-throughput, low-latency online serving systems.

Required skills

• Big data tools such as Spark, Flink and Hive.
• Strong SQL for large-scale data manipulation and feature engineering.