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About the Role
AI makes us faster. It doesn't do our thinking for us. We verify what AI produces, and we stand behind everything that goes out. We are quick to experiment and thorough in delivery.
Responsibilities
- Develop agents that access information across large document collections.
- Investigate how completeness, contradictions, and source quality can be assessed.
- Ensure that answers remain traceable and uncertainties are visible.
- Develop forecast models for the performance of advertising blocks.
- Assess uncertainties, measurement errors, and the significance of your models.
- Process large amounts of data with Spark on our cluster and investigate where data quality or processing affects results.
- Experiment and evaluate: Formulate hypotheses, design meaningful tests, and learn from results, even if they don't meet your expectations.
- Take responsibility: Independently develop your approach to a robust prototype. Get feedback and work with your team on robust solutions.
- Collaborate with Engineering: Accompany the transfer of your prototype into a product and contribute your knowledge of the problem and solution.
- Support other teams: Evaluate data questions, demonstrate meaningful applications of AI, and provide a well-founded recommendation or a prototype as needed.
Requirements
- Possess sound technical fundamentals, acquired through studies, a doctorate, or practical experience.
- Be able to justify your choice of methods and critically evaluate results.
- Understand AI: You don't need to train models in PyTorch, but explain, for example, the difference between Prefill and Decode and its impact on latency and costs.
- Independent AI-native Development: Use coding agents to develop faster. Validate the generated code, test the results, and understand how your application and its components function.
- Structured Experimentation: Formulate clear specs, define a definition of done, and use appropriate tests and evaluations to check the quality of your solutions.
- Open Collaboration: Share knowledge, discuss technical decisions, and provide respectful, direct feedback.
- A portfolio, a side project, or a demo repo is more interesting than your resume – something that shows how you approach technical problems and implement solutions.
Skills
- Knowledge of Computer Science, Software Development, or Data Science
- Understanding of AI concepts (e.g., Prefill vs. Decode)
- Experience with AI-native development using coding agents
- Proficiency in structured experimentation and evaluation
- Strong collaboration and feedback skills
- Experience with NLP/Computational Linguistics (plus)
- Experience with Agentic Retrieval (plus)
- Experience with LLM Agent development (plus)
Location
- Remote
- Berlin, Germany (for occasional in-person meetings)
Work Type
- Remote
- Hybrid (occasional in-person meetings)
Experience Level
- Not specified
Education Level
- Studies, Doctorate, or practical experience in Computer Science, Software Development, or Data Science
Benefits
- 30 vacation days
- Public holidays on December 24th and 31st
- Smart Fridays with the option of a four-day week
- Deutschlandticket
- JobRad (company bicycle program)
- Sports and health offerings
- Support for mental health
- Corporate Benefits
- Access to RTL+
About the Company
- AI makes us faster. It doesn't do our thinking for us. We verify what AI produces, and we stand behind everything that goes out. We are quick to experiment and thorough in delivery.
- We measure advertising activity across more than 150 TV channels in Europe. Our goal: to make linear television as predictable and measurable as digital advertising.
- LegalEntity: smartclip Europe GmbH
Equal Opportunity
- smartclip is committed to a diverse and inclusive work environment. All qualified applicants will be considered for employment regardless of race, color, nationality, age, gender, gender identity, religion, sexual orientation, disability, or other personal characteristics.