About Huawei
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
Huawei is driven by science and technology and customer needs. Breakthroughs in technology help us create value for customers.
About Huawei Ireland Research Centre
Huawei Ireland Research Centre's (IRC) mission is to position Huawei as a recognised technology leader and global ICT solutions provider. The IRC builds an industry-recognised multi-disciplinary Research Centre of experts focusing on medium-term to long-term issues and engages with universities and Huawei customers to address real-world issues.
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 leverages Huawei\'s ecosystem and ad technologies, with thousands of apps integrating Ads Kit.
About The Job
As a Senior Programmatic Bidding Scientist, you will be at the heart of our advertising engine, building the models and algorithms that power real-time programmatic bidding. You will work closely with technical leads, senior scientists, and ML engineers to design, train, and optimise models that drive performance in our Ad Exchange (ADX) and third-party Supply-Side Platforms (SSPs).
This role is ideal for a hands-on scientist with strong expertise in machine learning, optimisation, deep learning, and reinforcement learning (RL) who thrives on solving complex, data-driven problems and bringing cutting-edge models into production.
Responsibilities
* Model Design & Development
o Design, implement, and iterate on real-time bidding (RTB) models and algorithms under the guidance of technical leads.
o Build scalable, production-ready ML models for bidding and budget pacing.
o Leverage reinforcement learning to develop adaptive strategies that optimise long-term advertiser value and balance competing objectives (e.g., ROI, CTR, CVR, eCPM).
o Design feedback loops and reward functions that align model learning with advertiser and platform goals.
* Algorithm Optimization
o Continuously optimise bidding strategies to maximise campaign performance across diverse KPIs.
o Conduct deep analyses, simulations, and A/B testing to uncover modelling opportunities and improve efficiency.
* End-to-End Ownership
o Own the full lifecycle of bidding models: data preparation, training, evaluation, deployment, and debugging.
o Ensure model robustness, scalability, and stability in high-frequency, real-time environments.
* Collaboration & Delivery
o Partner with engineering teams to deploy models into production systems.
o Collaborate with technical leads to translate strategic directions into concrete modelling solutions.
Requirements
* Master’s or PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, or a related quantitative discipline.
* Hands-on experience in ML model development and optimisation algorithms (e.g., regression, tree-based methods, deep learning, reinforcement learning).
* Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
* Understanding of end-to-end ML system design: data pipelines, model training, validation, debugging, and optimisation.
* Strong analytical problem-solving skills with the ability to translate business objectives into quantitative models.
* Curious and driven to stay current with the latest ML and optimisation techniques.
Check out Life at Huawei Ireland Research Centre: http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html
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