Staff Machine Learning Scientist – Personalization

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Bertelsmann SE & Co. KGaA

WebsiteLinkedInAll Job Openings

10,000+ employees

👥 B2C

📱 Media

📚 Education

B2C • Media • Education

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, prioritizing roadmap items to meet business goals and defining short-term vision for the team. • Propose and deliver R&D that directly shapes roadmaps, multiple projects, and long-term deliverables. Models are used over the long term by multiple products and teams. • Design and lead the development of software used by multiple teams, ensuring long-term maintainability, scalability, and adaptability. • 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, offline evaluation methodology, and metrics design across personalization surfaces. • Lead team meetings, ensure the team's progress on the roadmap, and make technical decisions that unblock projects. • Manage stakeholders' expectations with data-driven narratives and communicate effectively with senior leadership to align on strategy and track progress. • 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, setting high code quality standards and best practices for the team. • Stay current with advances in recommender systems, LLMs for personalization, and representation learning, bringing relevant advances into production when they deliver measurable improvement.

🎯 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, with a track record of shipping systems that operate at scale. • 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