We are looking for a Senior Machine Learning Engineer to join our team. This role can be based in Paris or Barcelona on a hybrid schedule, or fully remote from anywhere else within the European Union. WHAT YOU WILL DO We are looking for a Senior Machine Learning Engineer to take ownership of our ML Platform. Our mission is to deliver efficient, scalable, and impactful machine learning systems — models that directly influence billions of real‑time decisions per day. As a Senior member, you won't just "execute" tasks. 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. 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. WHO YOU ARE You might be a great fit for our Machine Learning team if you have experience in several of the following areas — don’t worry if you don’t check every box,



we’re happy to consider strong candidates who are eager to learn and grow:

Experience:
Proven track record as a machine learning Engineer, ideally with a focus on data engineering, MLOps and production‑related challenges (latency, throughput, server cost optimization…). Hands‑on expertise with Apache Spark (tuning, scaling), Airflow (complex DAG orchestration). Kafka streaming and Kubernetes are a plus. Our stack runs on AWS so a good knowledge of this platform is also a plus. Coding

Skills:
Strong proficiency in Python or Scala/Java. Data Modeling: Experience with tabular data for classification and regression problems. Feature Engineering: Solid understanding of how to transform raw data into high‑quality features for machine learning. A "Product Owner" mentality for data, you don’t just ship code; Fluent in English and the ability to articulate complex architectural choices to both technical and non‑technical stakeholders. Notions of French can be a plus. 4 1/2 days work week (Fridays afternoon off) ~ Performance‑based Quarterly bonus with transparent KPIs ~ Healthcare plan with excellent coverage ~€Versátil remote working policy ~ For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that’s both relevant and compliant wherever you are. 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, If you require accommodations at any stage of the application process, please let us know.

📌 Senior Machine Learning Engineering (Barcelona)
🏢 Adikteev
📍 Barcelona