Job Title: Senior Generative AI Engineer
Location: Munich, Germany
Employment Type: Full-Time
About the Role:
We are looking for a Senior Generative AI Engineer to lead the design and development of cutting-edge generative AI systems that produce human-like content such as text, images, code, and audio. You will play a key role in building and deploying large-scale models (e.g., LLMs, diffusion models), optimizing performance, and integrating them into real-world applications.
Key Responsibilities:
* Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases.
* Fine-tune and optimize large language models (LLMs) using techniques like LoRA, PEFT, or RLHF.
* Collaborate with product and research teams to turn ideas into working AI-powered features.
* Develop scalable training and inference pipelines using modern ML infrastructure.
* Analyze model outputs for quality, bias, and safety, and implement necessary safeguards.
* Stay up to date with the latest research in generative AI and apply state-of-the-art techniques.
* Lead and mentor junior engineers and contribute to architectural decisions.
Requirements:
* Masters or PhD in Computer Science, Machine Learning, AI, or related field.
* 4+ years of hands-on experience in machine learning, with at least 2 years in generative models.
* Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering.
* Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
* Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools.
* Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI.
* Excellent communication skills and ability to work cross-functionally.
Nice to Have:
* Experience with OpenAI, Hugging Face, or similar platforms.
* Contributions to generative AI research or open-source projects.
* Experience with multimodal models (text+image, text+audio, etc.).