Staff ML Engineer, Product Recommendations (m/f/d)
Core
Design, build, and operate production-grade machine learning systems for product recommendations, including candidate generation, ranking, and personalization.
Role type
Staff Machine Learning Engineer (Product Recommendations)
Builds
Scalable recommendation systems for an e-pharmacy platform
Domain
E-commerce / Healthcare / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning Engineering, Recommender Systems, Ranking Algorithms, System Architecture, ML Pipeline Development, Cloud Infrastructure, Model Deployment, Technical Leadership, Stakeholder Communication, Mentoring
Preferred skills
Experience with personalization, product discovery, handling data leakage and distribution shifts
Technologies
Cloud-based stack
Responsibilities
Define architecture and technical direction for ML systems, translate business requirements into scalable ML solutions, develop robust ML pipelines for training and evaluation, bring models into production and ensure observability, identify technical risks and drive system improvements, mentor team members and establish engineering standards
Seniority
Staff, hands-on IC with technical leadership
