Overview
In this role you will shape and operate production-grade ML systems for our Recommendations product, delivering personalized experiences and measurable business value. You’ll lead architectural decisions, collaborate with cross-functional teams, and guide the ML lifecycle from problem framing to deployment and monitoring. The position combines strong ML expertise with software engineering to build scalable, reliable systems that impact customer discovery and engagement. This is a high-impact opportunity to set technical direction and raise the bar in ML engineering.
Leistungen / Benefits
- Sports: Urban Sports Club membership
- Mental Health: Likeminded psychologists support
- Work from Home: up to 20 EU days
- Mobility: Deutschland Ticket
- Personal development and trainings
- and many more
Verantwortungsbereiche
- Provide technical leadership for the Recommendations product and define its architecture and long-term direction
- Design, build, and operate ML systems for candidate generation, ranking, personalization, and optimization
- Translate ambiguous business requirements into scalable ML solutions balancing quality, latency, reliability, and scalability
- Lead architectural decisions for complex ML initiatives and manage trade-offs across modeling, data, infrastructure, and product needs
- Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and iteration
- Put models into production on a cloud stack and ensure reliability, observability, and maintainability
- Identify risks and opportunities across the recommendation stack and drive improvements for scalability and effectiveness
- Communicate decisions, assumptions, and limitations clearly to stakeholders
- Raise technical standards through design reviews, mentoring, and sharing ML engineering best practices
Zentrale Anforderungen
- Extensive hands-on experience as ML Engineer, ML-focused Software Engineer, or Data Scientist with engineering depth
- Experience building and operating production-grade ML systems and taking ownership of complex ML projects
- Strong background with recommender systems, ranking, personalization, or related product discovery systems
- Proven technical leadership influencing architecture and engineering practices
- Ability to reason about data leakage, feedback loops, distribution shifts, and offline metric pitfalls
- Capacity to explain technical topics to both technical and non-technical audiences
- Ownership mindset for ambiguous, cross-cutting problems and driving initiatives across teams
- Collaborative mindset with mentoring and knowledge sharing
- collaboration
- clear communication
- mentoring
- machine learning engineering
- production ML pipelines
- recommender systems
Staff ML Engineer, Product Recommendations (m/f/d) in Essen Arbeitgeber: Redcare Pharmacy
Redcare Pharmacy ist ein hervorragender Arbeitgeber, der eine gesunde und kollaborative Arbeitsumgebung fördert, in der jeder Mitarbeiter geschätzt wird und inspiriert ist, zur Vision "Bis jeder Mensch seine Gesundheit hat" beizutragen. Mit einem breiten Spektrum an Vorteilen, einschließlich Sportmitgliedschaften, mentaler Gesundheitsunterstützung und flexibler Arbeitsgestaltung, bietet das Unternehmen zahlreiche Möglichkeiten zur persönlichen und beruflichen Weiterentwicklung. Wenn Sie eine sinnvolle Karriere suchen, die mit Ihren Werten übereinstimmt, sind Sie bei uns genau richtig.
