- River Valley Central Region (Singapore) Singapore
OPERA TECHNOLOGY SINGAPORE PTE. LTD. Hiring! Full Time Principal Algorithm Engineer in Central Region (Singapore), Earn up to SGD 14,000 - Ricebowl
Principal Algorithm Engineer
OPERA TECHNOLOGY SINGAPORE PTE. LTD.
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Job Description
Responsibilities
Key Responsibilities:
Model Development & Tuning: Design, train, and optimize core ad-ranking models (CTR, CVR, CPA) and implement smart bidding and cold-start strategies.
End-to-End Pipeline Delivery: Build and maintain offline data pipelines, feature engineering workflows, and online low-latency inference services.
Experimentation & A/B Testing: Design and execute A/B tests, analyze experiment metrics, and rapidly iterate on model iterations based on performance feedback.
System Efficiency & Stability: Partner with engineering teams to optimize inference latency, throughput, and model-serving reliability under high-concurrency traffic.
Technology Exploration: Track and apply state-of-the-art machine learning techniques (e.g., multi-task learning, sequential models) to solve real-world advertising challenges.
Qualifications:
Education: Bachelor’s degree or above in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
Core Skills: Strong foundation in machine learning and deep learning, with a clear understanding of ranking/recommendation architectures (e.g., DeepFM, DIN, MMoE).
Data Processing: Familiarity with big data tools (Spark, Flink, Hive) and strong SQL skills for large-scale data manipulation and feature engineering.
Bonus Qualifications: Prior experience in ad tech, search, or recommendation systems, or experience optimizing high-throughput, low-latency online serving systems.
Opera is a leading global internet brand with a large and engaged user base of approximately 300 million average monthly active users. Building on 30 years of innovation, starting with our browser products, we are leveraging our brand as well as our massive and engaged user base in order to expand our offerings and our business. Today, we offer users around the globe a range of products and services that include a variety of PC and mobile browsers, our Opera Gaming portals and development tools, our Opera News content recommendation products, our audience extension product (namely the Opera Ads platform) and a number of AI and Web3 products and services. This comprehensive suite of products is designed to meet the diverse needs and preferences of Opera's growing user base.
Headquartered in Oslo, Norway, Opera has a global presence with major hubs in Poland, China, Spain, Scotland, and Sweden, coupled with operations spanning numerous other countries. As a publicly traded company, Opera is listed on the Nasdaq stock exchange under the ticker symbol "OPRA".
Model Development & Tuning: Design, train, and optimize core ad-ranking models (CTR, CVR, CPA) and implement smart bidding and cold-start strategies.
End-to-End Pipeline Delivery: Build and maintain offline data pipelines, feature engineering workflows, and online low-latency inference services.
Experimentation & A/B Testing: Design and execute A/B tests, analyze experiment metrics, and rapidly iterate on model iterations based on performance feedback.
System Efficiency & Stability: Partner with engineering teams to optimize inference latency, throughput, and model-serving reliability under high-concurrency traffic.
Technology Exploration: Track and apply state-of-the-art machine learning techniques (e.g., multi-task learning, sequential models) to solve real-world advertising challenges.
Qualifications:
Education: Bachelor’s degree or above in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
Core Skills: Strong foundation in machine learning and deep learning, with a clear understanding of ranking/recommendation architectures (e.g., DeepFM, DIN, MMoE).
Data Processing: Familiarity with big data tools (Spark, Flink, Hive) and strong SQL skills for large-scale data manipulation and feature engineering.
Bonus Qualifications: Prior experience in ad tech, search, or recommendation systems, or experience optimizing high-throughput, low-latency online serving systems.
Opera is a leading global internet brand with a large and engaged user base of approximately 300 million average monthly active users. Building on 30 years of innovation, starting with our browser products, we are leveraging our brand as well as our massive and engaged user base in order to expand our offerings and our business. Today, we offer users around the globe a range of products and services that include a variety of PC and mobile browsers, our Opera Gaming portals and development tools, our Opera News content recommendation products, our audience extension product (namely the Opera Ads platform) and a number of AI and Web3 products and services. This comprehensive suite of products is designed to meet the diverse needs and preferences of Opera's growing user base.
Headquartered in Oslo, Norway, Opera has a global presence with major hubs in Poland, China, Spain, Scotland, and Sweden, coupled with operations spanning numerous other countries. As a publicly traded company, Opera is listed on the Nasdaq stock exchange under the ticker symbol "OPRA".
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