Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Empfehlungssysteme von der Datenaufbereitung bis zur produktiven Bereitstellung, integrierst KI-Funktionen und optimierst die Systemleistung, um personalisierte Erlebnisse für Millionen von Nutzern zu schaffen.
Job Technologien
Deine Rolle im Team
- Architect and build scalable recommender systems end-to-end, from feature engineering and modeling to reliable production serving.
- Implement and integrate modern AI and LLM-based capabilities into scalable production systems.
- Write clean, maintainable, and testable production-quality code with a strong focus on reliability and long-term maintainability.
- Take full ownership of ML systems in production, including deployment, monitoring, performance optimisation, and system resilience.
- Enable controlled experimentation and continuous optimisation of recommender systems in production environments.
- Proactively experiment with new approaches, tools, and architectures to continuously improve recommender performance and system design.
- Collaborate closely with data scientists, software engineers, data engineers, and product managers to integrate ML solutions into scalable, production-ready system architectures.
- Continuously improve engineering standards, tooling, experimentation practices, and system robustness.
Unsere Erwartungen an dich
Qualifikationen
- Strong software engineering fundamentals, including system design, clean architecture, testing strategies, CI/CD, and code reviews.
- Solid data science foundation in recommender systems.
- Strong background in experimentation and controlled rollouts in production environments.
- A pragmatic, solution-oriented mindset with a strong builder mentality and ownership attitude.
- Ability to operate confidently as a senior engineer within cross-functional product and engineering teams.
- Excellent communication skills in English; German skills are an advantage.
Erfahrung
- Several years of hands-on experience operating machine learning systems in production at scale.
- Proficiency in Python and working knowledge of backend languages such as Go or Java, with experience building and operating ML systems in distributed, cloud-based environments (e.g., Spark/PySpark, AWS).
- Practical experience integrating modern AI systems such as LLMs into real-world applications.
- Experience designing observable, resilient, and scalable ML systems (monitoring, logging, alerting, performance tracking).
Unser Angebot
- Axel Springer is Europe's leading digital publisher and a global media and technology company headquartered in Berlin.
- With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide.
- We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age.
- Our corporate strategy places AI at the center: "Digital is the new print. AI is the new digital."
- This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media.
- Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age.
- We believe in the future of journalism as a business model and invest in forward-looking technologies.
- Our five essentials are the values that unite us and guide us in our commitment to freedom.
- This role combines deep ML engineering expertise with a solid data science foundation in recommender systems.
- You will own and evolve the systems that drive personalization at scale, delivering measurable impact for millions of readers.
- In this role, you will design and operate scalable, production-grade ML systems while continuously exploring new AI-driven approaches to strengthen and expand the role of artificial intelligence in our products and journalism.
- We are looking for a curious builder who takes ownership and continuously seeks better solutions.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Axel Springer SE
Als führender europäischer Digitalverlag bietet die Axel Springer SE eine beeindruckende Palette an erfolgreichen journalistischen Inhalten und Vermarktungs- sowie Rubrikenportalen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Medien, Verlagswesen
Dev Reviews
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Gesamt
(1 Bewertung)3.4
Career Growth
3.2Culture
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3.7Workingconditions
3.6
Senior Software Engineer - Machine Learning
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
