Cyberlab Tech Services Company LimitedCyberLabo is a revolutionizing AI‑powered gateway that transforms real‑time data into autonomous bidding, predictive targeting, and intelligent optimization—engineered to scale across channels and markets.
We are a fast-growing technology company redefining digital advertising with innovative, data-driven solutions. Our mission is to empower businesses with a high-performance ad platform that drives exceptional results. We're seeking a highly technical Algorithm Engineer (AI AdTech) to lead the development of our advanced advertising technology suite, working hand-in-hand with engineering and data science teams to deliver cutting-edge solutions.
As an AI Advertising Algorithm Engineer, you will design and implement core advertising algorithms, including but not limited to CTR/CVR prediction, bidding strategies, intelligent bidding, and audience targeting.
You will deeply understand advertising business scenarios, continuously optimize algorithm performance using machine learning and deep learning technologies, and work closely with engineering teams to deploy algorithms into production environments.
Research and develop innovative CTR/CVR prediction models, including feature engineering, model architecture design, and training optimization
Develop deep learning-based ad ranking algorithms to optimize core metrics like eCPM
Research and implement intelligent bidding strategies (bid shading, ROI optimization, etc.)
User Understanding & Targeting
Build user profiling systems and develop user embeddings based on representation learning
Develop lookalike expansion algorithms to improve audience targeting accuracy
Optimize real-time audience segmentation and matching efficiency
Deploy algorithm models to online systems, ensuring stability and performance in high-concurrency scenarios
Develop feature platforms for efficient feature production and reuse
Build A/B testing frameworks to scientifically evaluate algorithm performance
Cutting-edge Technology Exploration
Stay updated on the latest advancements in advertising algorithms (e.g., multi-task learning, causal inference)
Explore applications of large language models in ad creative generation and intelligent delivery
Research the implementation of privacy-preserving technologies in advertising scenarios
Must-Have:
Bachelor's / Master's degree or above in Computer Science, Mathematics, Statistics, or related fields
3+ years of experience in advertising algorithms, recommendation systems, or search algorithms
Solid foundation in machine learning, familiar with common algorithm principles and implementations
Proficient in Python and familiar with frameworks like TensorFlow/PyTorch
Experience with big data processing tools like Spark/Flink
Deep understanding of advertising business and familiarity with DSP/SSP architectures
Nice-to-Have
Hands-on experience with large-scale advertising algorithms, familiar with DSP/SSP/RTB ecosystems
Publications in top conferences on advertising algorithms
Familiarity with cutting-edge technologies like reinforcement learning and multi-task learning
Experience in feature platforms and model serving
Mid-Senior level
Full-time
Technology, Information and Internet
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