Location: Dublin, Ireland

About Huawei

Huawei’s products and services are available in more than 170 countries and are used by a third of the world’s population. Huawei Consumer Business Group (CBG) is one of Huawei’s three business units and covers smartphones, PCs and tablets, wearables and cloud services, etc. Huawei Mobile Services (HMS) is part of CBG and develops new cloud services offered free of charge to Huawei mobile device users.

HMS ecosystem is now the third largest ecosystem in the world with more than 96,000 global apps integrated with HMS Core. HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Centre taking centre stage in various countries and regions.

About the IRC

Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global information and communications technology (ICT) solutions provider. We are building an industry-recognised multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues to achieve this. The IRC will work closely with an open, innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

About Huawei Petal Ads

Petal Ads is a smart marketing platform for Huawei devices. It provides marketing and traffic monetisation services for advertisers and publishers worldwide to help them achieve business growth and improve brand value. It does this by leveraging Huawei's "1+8+N" all-scenario ecosystem, Huawei apps' marketing capabilities, massive premium third-party traffic, and powerful ad technologies. Petal Ads has a global user base of more than 730 million monthly active users covering 220+ Global markets, while more than 60,000 apps worldwide have integrated Ads Kit. In addition, 20+ Huawei apps and 10+ mainstream ad formats are at users' disposal.

About the Job:

Huawei Ads is building the next-generation ad exchange (ADX) engine to power a sustainable and innovative computational advertising ecosystem. As a Computational Ads Bidding Expert, you will serve as a technical pioneer and thought partner within our global team.

In this role, you will not only design and optimise bidding strategies but also drive innovation, shape the technical roadmap, and collaborate across domains to influence the future of Huawei’s advertising technology stack. Your work will directly impact billion-scale business outcomes and help set industry benchmarks for smart bidding, auction mechanism design, and campaign optimisation.

Responsibility:

• 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 fulfilment, 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.

• 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

Check out Life at Huawei Ireland Research Centre: https://www.youtube.com/watch?v=3gR64sYSnOA&feature=youtu.be

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