Lead ML Engineer: LLMs&Recommender Systems, Dublin

Step into a high-impact role shaping the future of digital advertising with one of the world’s most influential technology companies. As an Ads Recommendation Expert, you’ll work on cutting-edge systems powering large-scale ad platforms used by millions globally.

What you will do

Design and build advanced recommendation systems that power personalized advertising experiences at scale.

Develop and optimize models for click-through rate, conversion, and user engagement.

Drive innovation in ranking systems, contextual personalization, and multi-objective optimization.

Apply modern machine learning approaches including deep learning, graph models, and reinforcement learning.

Lead the evolution of end-to-end recommendation pipelines (retrieval, ranking, post-auction optimization).

Run and oversee A/B testing frameworks to evaluate performance and business impact.

Collaborate with global teams across engineering, product, and research.

Define long-term strategy for recommendation systems aligned with business growth.

Translate cutting-edge research into scalable, production-ready solutions.

Mentor engineers and contribute to technical leadership across teams.

What you bring

6+ years of experience building and deploying

machine learning or recommendation systems

at scale.

Strong expertise in recommender systems (collaborative filtering, ranking, deep learning approaches).

Experience developing

predictive models

(e.g., CTR, CVR, engagement) in production environments.

Proficiency in

PyTorch or TensorFlow

and strong coding skills (Python preferred).

Solid understanding of

scalable system design , data pipelines, and real-time processing.

Experience with

end-to-end recommendation pipelines

(retrieval, ranking, optimization).

Knowledge of

A/B testing and model evaluation

in large-scale environments.

Familiarity with

advertising systems

and multi-objective optimization is a plus.

Exposure to advanced techniques (e.g., reinforcement learning, graph models, LLMs) is beneficial.

Strong analytical thinking, problem-solving, and cross-functional collaboration skills.

Why to join

Work on

high-scale systems

impacting millions of users globally.

Be at the forefront of

AI-driven advertising innovation.

Collaborate with

world-class engineers and researchers.

Influence

product direction and technical strategy.

Access to cutting-edge tools, research, and resources.

Competitive compensation and strong career growth opportunities.

Opportunity to shape the future of digital ecosystems within Huawei’s Ads ecosystem.

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice ( accordance with local employment laws, applicants must have current, valid authorization to work in Ireland or within the European Union at the time of application. We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorization for Ireland or within the European Union cannot be considered.

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