Job
- Level
- Experienced
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this position, you will develop AI-driven editorial applications, optimize language models, oversee their operation in Docker and Kubernetes environments, and support your team with code reviews.
Job Technologies
Your role in the team
- As an AI Developer / ML Engineer focusing on editorial AI applications and features (m/f/d), you will work in our editorial Data Science & AI team and develop AI-powered applications for the editorial team and for . Your solutions will make the work easier for our editors and enable complex research and text analysis.
- Development, architecture, and operations: You design, develop, and operate AI and NLP applications from the initial idea through solid architectural decisions to production deployment. In doing so, you further develop our applications, implement them in Docker and Kubernetes environments, monitor them, and analyze as well as troubleshoot operational issues.
- Code review and quality assurance: Whether the code was written by humans or AI, you review it for correctness, security, maintainability, and performance. You identify subtle errors, unnecessary complexity, and security risks, ensuring that only code that the team understands goes into production.
- Models, data, and evaluation: You select language models, especially LLMs and open-source models, customize and optimize them. You also analyze data during the development of algorithms and methods and measure the quality of AI results.
- Innovation and Research: You proactively contribute your ideas for our products. To do this, you monitor technological trends in AI, NLP, and AI-powered software development and test new approaches with prototypes.
- Teamwork and Knowledge Transfer: You work closely with colleagues from editorial, product, and engineering teams. You assist other teams in integrating AI solutions and share best practices for handling AI tools.
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Our expectations of you
Education
- A completed degree in Computer Science, Computational Linguistics, Data Science, or a comparable field, or an equivalent qualification through relevant professional experience, forms the basis of your expertise. Additionally, you bring practical experience in software development and in the field of AI/Natural Language Processing.
Qualifications
- Your working style is analytical, solution-oriented, and meticulous. You critically question results and take responsibility for the quality and safety of your work. Even when faced with new challenges, you act creatively and flexibly, demonstrating willingness to learn, initiative, and curiosity.
- You have a particular interest in the media industry, quality journalism, and the societal impacts of artificial intelligence. Additionally, you enjoy teamwork, communicate clearly, and can explain complex technical issues understandably. You handle constructive feedback confidently, both giving and receiving it.
Experience
- In the field of Natural Language Processing and Machine Learning, you possess solid practical knowledge, particularly in the areas of Text Embeddings, Classification, and Transformer Architectures. You have experience with Large Language Models, open-source models, especially in agent-based systems.
- You are proficient in Python and have experience with libraries and frameworks such as Hugging Face, scikit-learn, or PyTorch. You handle SQL databases, the shell, Docker, and ideally Kubernetes with confidence. You also use AI coding assistants like GitHub Copilot, Claude Code, or Cursor effectively but critically.
- Your practical experience also includes code reviews as well as manual and automated testing. You can quickly understand, systematically evaluate, and improve code that is written by others or generated by AI in terms of quality, security, maintainability, and test coverage.
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What we offer
- In the ZEIT Newsroom, your strong identification with online journalism and your keen interest in online technologies are recognized and valued. You work in a vibrant and creative environment alongside dedicated colleagues who care about journalistic, design, and technical quality. We foster a respectful atmosphere and are committed to values such as independence, equal treatment, and diversity. Approximately 340 people work at our Berlin location.
- Flexible working: Our conferences and most team meetings are held in a hybrid format. You can work from home part of the week. Once a month, the entire editorial team gathers together.
- Development: We offer all employees internal and external training opportunities as well as our own mentoring program.
- Onboarding: To facilitate your arrival and orientation in the first months, we support you with our onboarding and mentoring program. This way, you will get to know your new colleagues and our tools in detail.
- Attractive Location: Our office is situated centrally near Potsdamer Platz, with excellent public transportation connections. We support our employees' mobility with a travel allowance and bike leasing.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Zeit Verlagsgruppe
ZEIT ONLINE ist eines der größten Online-Nachrichtenmedien Deutschlands, unter anderem ausgezeichnet mit zwei Lead Awards, einem Grimme Online Award, dem amerikanischen Online Journalism Award und vier Medaillen beim internationalen Malofiej Award für Infografik.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
AI Developer / ML Engineer - Editorial AI Applications & Features
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
