About the Role
We are seeking a seasoned Machine Learning Engineer to spearhead the development of our cutting-edge recommendation system.
1. Key Responsibilities:
* Design and build the foundation of our next-generation recommendation engine, working closely with a cross-functional software team.
* Develop evolving user profiles that adapt continuously as new data and interactions are integrated.
* Transform raw signals into clear, personalized, and engaging user-facing experiences.
* Leverage proven methods from recommendation-heavy domains and adapt them to our digital health application.
* Drive projects from prototyping and experimentation through testing, deployment, and iteration in production.
* Collaborate with product, data science, and engineering teams to ensure solutions are robust, user-friendly, and aligned with business goals.
Your Expertise:
* You have a PhD or MSc in Informatics, Mathematics, Physics, Biology, Data Science, Signal Processing, or a related field.
* With 4+ years of experience building and deploying recommendation systems in production, you possess expertise in personalization, clustering, and recommendation logic.
* Proven track record generating user-facing insights and iterating recommendation models at scale, including knowledge of reinforcement learning and its application to personalization and recommendation systems.
* 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.
Benefits:
* A unique opportunity to work on a pioneering project, shaping something that has not been built before.
* End-to-end ownership and accountability for your work.
* A fast-paced and dynamic environment with opportunities for growth and professional development.