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Staff / Senior Software Engineer - Machine Learning (m/f/d)

Axel Springer National Media & Tech GmbH & Co. KG -
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten
Kostenlose Verpflegung

Qualifikationen

CI/CD
Go
Spark
Java
Master
AWS
Machine Learning
Künstliche Intelligenz
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

Company Description

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.

Job Description

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

Qualifications

Several years of hands-on experience operating machine learning systems in production at scale
Strong software engineering fundamentals, including system design, clean architecture, testing strategies, CI/CD, and code reviews
Solid data science foundation in recommender systems
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)
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

Additional Information

your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/

The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde

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