Assembly Engineer managing production processes and improvements at ZF. Responsible for documentation, project launches, and collaboration with regional teams.
About the role
- R&D Engineer focused on the strategic research and development of neural network-based models. Protecting the credibility of digital media in a fast-paced startup environment.
Responsibilities
- You will analyze the latest research findings and deep tech approaches
- You will design, test, and implement innovative processes to continuously exceed the performance of our own models
- Through your continuous innovative strength, you will ensure that our technology remains the best on the market in the fight against manipulated digital media
Requirements
- Master's degree in computer science, data science, machine learning or a comparable, highly quantitative field
- Several years of proven experience in the research and development of deep learning models and neural network architectures in computer vision
- Proven success in independently designing and implementing research projects
- Confident in using AI application layers (e.g., Gemini, ChatGPT, Cursor, Claude-Code, Codex, Gemini-CLI)
- Problem-solving skills and analytical thinking
- Excellent communication and teamwork skills and the ability to collaborate effectively with cross-functional teams
- Self-motivated and detail-oriented, with a passion for complex problems and their solutions
- Nice to have: Experience with process automation frameworks (e.g., N8N, Make)
Benefits
- Insights into a young startup where you can actively contribute
- New challenges with a steep learning curve in a motivated team and a fast-paced work environment
- Flat hierarchies and individual talent development
- Real startup life in our co-working spaces in the cities of Hamburg and Berlin, as well as flexible working hours and the option to work remotely up to 100% of the time
- Regular team-building events
- Urban Sports offer
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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