KI-Forschungsingenieur / Machine-Learning-Forscher
Core
Conception, implementation, and scientific validation of AI core innovations, specifically developing novel generative image models and training pipelines for architecture-specific use cases.
Role type
Research-level machine learning engineer (generative models)
Builds
Production-ready AI systems derived from research findings
Domain
Generative AI, image modeling, architecture-specific applications
Deliverable
production ML models
Required skills
Generative image model development, training pipeline engineering, scientific validation, systematic experimentation, benchmarking, quantitative and qualitative evaluation
Preferred skills
Collaboration with product and engineering teams, translating research to production
Technologies
Generative image models, training pipelines
Responsibilities
Conceive and implement AI core innovations, develop generative image models and training pipelines, conduct controlled generation method research, perform systematic experiments and benchmarking, evaluate results qualitatively and quantitatively, collaborate with product and engineering teams to transition research to production, ensure scientific substance of research projects
Seniority
Senior, hands-on IC
