As Machine Learning Engineer focused on "Personalization & Recommendations”, you will design and build the application layer that powers this next-generation engine — from user segmentation and clustering to insight generation and personalized, behavior-driven recommendations. This is a hands-on role for someone eager to create something new from the ground up.

Your Role

• Application Layer Development
  Design and build the foundation of Aktiia’s next-generation recommendation engine together with a cross-functional software team (~20 engineers).
• Dynamic User Modeling
  Develop evolving user profiles that adapt continuously as new data and interactions are integrated.
• Insight Generation
  Transform raw signals into clear, personalized, and engaging user-facing experiences.
• Cross-Domain Adaptation
  Leverage proven methods from recommendation-heavy domains (e.g. travel, streaming, commerce) and adapt them to digital health.
• End-to-End Ownership
  Drive projects from prototyping and experimentation through testing, deployment, and iteration in production.
• Collaboration
  Work closely with product, data science, and engineering teams to ensure solutions are robust, user-friendly, and aligned with business goals.
• Pioneering Role
  Help Aktiia apply recommender system principles in a new domain, shaping something that has not been built before.

Your Profile

• Academic Background
  PhD or MSc in Informatics, Mathematics, Physics, Biology,Data Science, Signal Processing or related field.
• Professional Expertise
  4+ years of experience building and deploying recommendation systems in production, with expertise in personalization, clustering, and recommendation logic.
  Proven track record generating user-facing insights and iterating recommendation models at scale. Knowledge of reinforcement learning and its application to personalization and recommendation systems.
• Technical Experience
  Strong programming skills in Python with hands-on experience in modern ML/AI frameworks. Skilled in building, validating and deploying ML models. Familiar with data pipelines, cloud and best engineering practices. Experience with large language models (LLMs), including practical use of open-source models, RAG, embeddings, and fine-tuning.
• Industry Fit
  Preferred background in recommendation-driven industries such as travel, streaming, e-commerce, advertising or digital marketing. Ideally from start-ups or mid-sized companies with end-to-end system ownership.
• Language Skills
  English at highly proficient level is a must. French, German or Italian are advantageous.
• Personality
  Hands-on, execution-driven product builder with strong ownership, accountability, and customer focus. On top you are a strong team player!