Senior ML Engineer - CDI
Core
Designing, developing, evaluating, and deploying end-to-end ML models for product formulation, recommendation, and personalization in a beauty-tech context.
Role type
Senior Machine Learning Engineer (Production)
Builds
Production ML models for formulation, recommendation, and personalization systems
Domain
Beauty-tech / Personalized cosmetics / Recommendation systems
Deliverable
production ML models
Required skills
Deep learning (embeddings, transformers, two-tower), Classical ML on tabular data, Gradient boosting, End-to-end recommendation/retrieval/ranking systems, Python, Cloud ML platform deployment
Preferred skills
GCP / Vertex AI experience, Industrialization of scientific projects, Background in e-commerce or health-tech
Technologies
Python, GCP, Vertex AI, Gradient boosting, Transformers
Responsibilities
Design and deploy end-to-end ML models for formulation and recommendation, Collaborate with internal R&D (chemists, scientists) to translate scientific knowledge into ML, Conduct rigorous experimentation including metrics and A/B testing, Maintain production loop (monitoring, retraining, metric alignment), Choose appropriate tools balancing complexity and impact