KI/Machine Learning Ingenieur
Core
Conception, implementation, and scientific validation of core AI innovations, specifically generative image models and training pipelines for architecture-specific use cases.
Role type
Senior IC machine learning engineer (generative image models)
Builds
Production-ready AI systems and scalable training/experimentation pipelines
Domain
Deep Tech / Generative AI / Computer Vision
Deliverable
production ML models
Required skills
Generative image models, Diffusion Models, UNet architectures, Transformer-based approaches, Latent Diffusion, Fine-Tuning, LoRA, DreamBooth, Domain-specific Transfer Learning, Controllable generation mechanisms, Region-based control, Material/texture conditioning, Scalable training pipelines, PyTorch, GPU clusters, Automated experiments, Benchmarking, Ablation studies, Qualitative and quantitative evaluation, Dataset curation, Reproducibility documentation
Preferred skills
EU grant application experience, Deep Tech research background
Technologies
PyTorch, GPU clusters
Responsibilities
Develop and optimize generative Deep Learning models, Build and maintain scalable training pipelines, Conduct systematic scientific validation via benchmarking and ablation studies, Collaborate with Product and Engineering teams to transition research to production, Document research results and methodological decisions, Analyze and curate training and evaluation datasets, Monitor and evaluate current research developments in generative AI
Seniority
Senior, hands-on IC
