
Programmatic Innovation Catalyst
1 day ago
Unlock the Future of Advertising Technology
Join us in revolutionizing the advertising landscape with cutting-edge solutions that drive innovation and growth. As a Computational Ads Bidding Expert, you will play a pivotal role in shaping the next generation of ad exchange (ADX) engines, empowering a sustainable and innovative computational advertising ecosystem.
The Opportunity:
- Technical Leadership & Framework Design
Co-lead the design, implementation, and evolution of the bidding strategy framework for real-time bidding ads.
Collaborate with existing technical leads to define Huawei Ads' long-term bidding strategy and ecosystem vision.
Innovation & Research Impact
Conduct research on next-generation auction mechanisms, game-theoretic approaches, and reinforcement learning for smart bidding.
Identify and drive forward-looking projects that can position Huawei Ads at the forefront of computational advertising.
Explore potential cross-team and cross-domain collaborations (e.g., recommendation, pricing, fraud detection, attribution).
Optimisation of Campaign & Ecosystem Performance
Develop advanced strategies for smart bidding, budget allocation/pacing, and bid landscaping, and campaign performance optimisation.
Solve complex challenges in budget fulfillment, cold start deployment, campaign stability, anti-fraud, and attribution.
Industry Thought Leadership
Stay ahead of the curve on bidding mechanisms and algorithms, integrating state-of-the-art research into production systems.
Publish and present research findings in top-tier journals, conferences, and industry forums.
Mentor engineers and data scientists, elevating the team's technical capability.
Key Qualifications:
- Master's or PhD in Computer Science, Statistics, Machine Learning, Deep Learning, or related fields
- Domain Expertise: Rich experience in computational advertising, particularly in bidding, reinforcement learning, auction mechanism design, or game theory
- Innovation Track Record: Proven ability to propose, design, and deliver next-generation bidding frameworks, with successful application experience in smart bidding, budget pacing, campaign stability, anti-fraud, and attribution
- Research Leadership: Strong academic background, with publications in top conferences/journals (e.g., KDD, NeurIPS, SIGIR, WWW, ICML) preferred
- Technical Foresight: Ability to rapidly understand and integrate emerging technologies into Huawei Ads' bidding ecosystem
- Collaboration & Influence: Skilled at working with technical leads and global teams, aligning strategy and execution while driving innovation
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