Machine Learning Engineer – Health Recommendation Systems

Vor 3 Tagen

Neuenburg, Neuenburg, Schweiz Consult & Pepper AG Vollzeit

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
    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 system.
  • 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

We're looking for a hands-on builder who has designed, deployed, and optimized recommendation systems — someone who thrives where algorithms meet real users and who's excited to pioneer recommendation systems in digital health.

Do you want to apply your expertise in recommendation systems to improve millions of lives? Then we're excited to meet you

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