Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will architect scalable recommender systems from feature engineering to production deployment, integrate AI capabilities, and optimize performance to deliver personalized experiences to millions of users.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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).
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What we offer
- 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, and 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.
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Benefits
Health, Fitness & Fun
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Topics that you deal with on the job
Job Locations
This is your employer
Axel Springer SE
As a leading European digital publisher, Axel Springer SE offers an impressive range of successful journalistic content and marketing portals.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Media, Publishing
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.4
Career Growth
3.2Culture
3.2Engineering
3.7Workingconditions
3.6
Senior Software Engineer - Machine Learning
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
