Staff Machine Learning Scientist – Personalization

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🕒 July 14

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Bertelsmann SE & Co. KGaA

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Bertelsmann SE & Co. KGaA is a global media and education company that has evolved from a small book publisher founded in 1835 into a diverse organization with over 80,000 employees worldwide. The company operates various business units, including the RTL Group, Penguin Random House, BMG, Arvato Group, Bertelsmann Marketing Services, and Bertelsmann Education Group, which offer job opportunities across about 50 countries. Bertelsmann is dedicated to fostering an equitable and inclusive workplace, encouraging personal initiative, creativity, and diverse perspectives among its workforce.

📋 Description

• Define and drive the technical roadmap for personalization and recommender systems. • Propose and deliver R&D that directly shapes roadmaps and long-term deliverables. • Design and lead the development of software used by multiple teams. • Ensure complex, multi-service personalization products meet SLAs and provide correct results over time. • Adapt systems to changing business needs and resolve multi-product, multi-team service incidents. • Establish and enforce experimentation best practices including A/B testing frameworks. • Lead team meetings and ensure the team's progress on the roadmap. • Manage stakeholders' expectations with data-driven narratives. • Drive organizational efficiency and business impact by implementing new technologies and processes. • Foster a collaborative and high-performance team culture. • Mentor senior and mid-level scientists.

🎯 Requirements

• PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics, or a related quantitative field, OR Master's with 8+ years of applied ML experience. • Deep expertise in recommender systems, personalization, ranking/retrieval, or computational advertising. • Expert-level Python and deep proficiency with modern ML frameworks (PyTorch or TensorFlow) and recommendation-specific tooling (e.g., NVTabular, Merlin, Triton). • Strong experience with cloud-based ML infrastructure (AWS, Kubernetes, Databricks), containerization (Docker), and model serving at low latency. • Advanced SQL skills and experience architecting large-scale data pipelines and feature stores. • Demonstrated ability to define technical roadmaps, influence direction across teams, and make architectural decisions that hold up over time. • Excellent communication skills with the ability to present complex technical work to executive and non-technical audiences.

🏖️ Benefits

• Medical/Prescription drug insurance • Dental • Vision • Health Care/Dependent Care Flexible Spending Account • Health Savings Account • Pre-Tax and Roth 401(k) • Short and Long-Term Disability Insurance • Life/AD&D Insurance • Commuter Benefits • Student Loan Repayment Program • Educational Assistance & generous paid time off