Adikteev
AI

Senior Machine Learning Engineer Applied AI

Adikteev · Barcelona, CT, ES

Actively hiring Posted 4 days ago

Role overview

We are looking for a Senior Machine Learning Engineer to join our team.

This role can be based in Barcelona or Paris on a hybrid schedule, or fully remote from anywhere else within the European Union.

What you'll work on

We are looking for a Senior Machine Learning Engineer to take ownership of our ML Platform. You will help design, deploy, and evolve predictive models that power Adikteev’s core adtech systems and you will be the architect of the infrastructure that enables our ML models to scale, perform, and deliver value at high velocity.

You will join a high-performing team alongside Gwennaëlle, Nicolas, Pedro, and Alex. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real-time decisions per day.

You will join a team that has full ownership of our ML ecosystem. As a Senior member, you won't just "execute" tasks. You will shape our technical DNA and take your share of the following challenges:

  • Architect, scale, and maintain our data infrastructure, ensuring it meets the rigorous demands of real-time and batch ML workflows.
  • Build and maintain ML models focused on getting the best return-on-investment for every ad impression while satisfying production constraints specific to our industry (large volumes and low latencies).
  • Design and implement our feature store to centralize feature discovery, storage, and serving and build robust feature engineering pipelines.
  • Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark, focusing on high reliability and cost-efficiency.
  • Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.
  • Leverage AI coding tools (Copilot, Cursor, etc.) to accelerate development cycles and stay at the forefront of engineering productivity.
  • Drive best practices for data quality, CI/CD for data, and technical documentation. Mentor peers and identify infrastructure bottlenecks before they impact the business.

Interview process

What to expect as you move through our hiring process:

  • A HR call with Mélanie, Talent Acquisition Partner,
  • A 1h technical interview with Gwennaëlle, Staff Machine Learning Engineer and Youcef, Senior Engineering Team Lead,
  • A 1h team fit + system design interview with Julien, Machine Learning Team Lead, and Aldenis, VP Engineering,
  • A final interview with Cédric, Chief Technology Officer and Loïc, Chief Product Officer.

If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.

*HOW WE MAKE AN IMPACT

Own it, Live it*: Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.

**Rolling with Changes
: We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.

**Making waves with purpose
: We're here to make a difference. Every decision and action is aimed at creating a positive and meaningful impact.

**The ADIKTEAM vibe
*: We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments.

Tags & focus areas

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Fulltime Remote Ai Machine Learning Mlops