Job
In this role, you develop AI-driven agents for document analysis and create predictive models. You process large data sets with Spark and evaluate uncertainties in your models.
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Your role in the team
- One role, two areas of focus. Whether you specialize in one or both depends on your skills and preferences. AI is always part of the picture.
- Develop agents that extract insights from large collections of documents.
- Explore how completeness, contradictions, and source quality can be assessed.
- Ensure that answers remain transparent and uncertainties are made visible.
- Develop forecasting models for the performance of ad blocks.
- Assess uncertainties, measurement errors, and the validity of your models.
- Process large volumes of data with Spark on our cluster and investigate where data quality or processing affects the results.
- Experiment and evaluate: Formulate hypotheses, design meaningful tests, and learn from the results, even when they don’t meet your expectations.
- Take ownership: Develop your approach independently through to a robust prototype. Get a second opinion or continue brainstorming with your team at the whiteboard.
- Work with Engineering: Support the transition of your prototype into a product and contribute your knowledge of the problem and solution.
- Support other teams: Assess data-related questions, identify meaningful use cases for AI, and provide a well-founded recommendation or a prototype as needed.
Our expectations of you
Education
- Strong technical foundation: Bring knowledge of computer science, software development, or data science gained through a degree, PhD, or practical experience. You can justify your choice of methods and critically evaluate results.
Qualifications
- Understanding of AI: You don’t need to train models in PyTorch. However, you can explain the difference between prefill and decode and how it affects 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 work.
- Structured experimentation: Write clear specs, define a Definition of Done, and use appropriate tests and evaluations to check whether your implementation solves the right problem.
- Open collaboration: Share knowledge, discuss technical decisions, and give respectful, direct feedback.
Experience
- A plus, but not required: experience with NLP/computational linguistics, agentic retrieval, or developing LLM agents.
What we offer
- Remote work with purposeful in-person meetups: We work primarily remotely and occasionally get together at our tech office in Berlin for workshops, team sessions, and to exchange ideas. We also host team events throughout the year, including our annual company offsite, which takes place at a different location in Germany each year. The willingness to travel to and attend these meetups is part of the role.
- Ownership instead of micromanagement: Take responsibility for your areas of work and drive them forward independently.
- Build > Talk: Try early, get it wrong early, learn early.
- High standards, low ego: We give direct feedback and work together openly and respectfully.
- Professional development: Take advantage of hackathons, conferences, and community exchanges to expand your expertise.
- And of course, the benefits are great too: 30 days of annual leave plus December 24 and 31 off, Smart Fridays with the option of a four-day workweek, a Deutschlandticket and JobRad, sports and health programs, mental health support, Corporate Benefits, access to RTL+ and much more.
Benefits
Health, fitness & fun
Food & drink
Work-Life-Integration
Topics you will work on
Job locations
About your employer
With our cutting-edge technology, smartclip is shaping the future of video advertising. We empower brands with true cross-screen storytelling on all devices — and enable publishers to monetise their content in the most efficient and effective way possible.
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
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