> Markdown version of [/jobs/ext/4497764-machine-learning-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4497764-machine-learning-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning/AI Engineer - **Company:** ramblr - **Location:** Pullach im Isartal, Germany - **Experience:** Experienced - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Cloud Computing, Software Code Optimization, Code Review, Collaborative Software, Nvidia CUDA, Extract Transform Load (ETL), Data Visualization, Software Design Patterns, Linux, Distributed Systems, Python (Programming Language), Machine Learning, Language Modeling, NumPy, OpenCV, Pytorch, Evaluation Pipelines, Prompt Engineering, Agentic-AI, Git, Integration Tests, Information Technology, ONNX (Open Neural Network Exchange) Format, Transformer Architectures, Machine Learning Operations, Software Coding - **Published:** November 2, 2026 - **Apply:** https://www.adzuna.de/details/5949458097 ## About the Role Passion for solving the hard problems in physical and visual AI. Required: * Full proficiency in Python-based collaborative software engineering: consistent style guide, clean design patterns, self-documenting code, unit and integration tests, type annotations * Vision-language and multimodal foundation models: production use beyond prompt engineering, including fine-tuning, evaluation, and integration into multi-component agentic systems * Machine learning: data loading pipelines, serving and deployment, relevant neural network architectures, model optimization, PyTorch * Scientific Python libraries such as NumPy and OpenCV * General: Git, code reviews, development on Linux, distributed computing concepts * A good mix of strong fundamental coding skills and effective use of modern coding assistants Optional: * Computer vision: Spatio-temporal data, image and video embeddings, augmentation techniques * NLP: Transformer architectures, vision-language alignment, prompt and instruction design * MLOps: automated model monitoring, evaluation pipelines, observability * Acceleration in Python: Numba, C++/CUDA extensions, Cython, PyTorch C++/CUDA extensions, ONNX, TPUs * General: cloud technologies, Ray, data visualization, MCP-based integrations Education and experience: * M.Sc. or Ph.D. in computer science, physics, mathematics, or a related field, with a focus on computer vision or machine learning * 3+ years of relevant work or internship experience * Fluent in English ## Description We are looking for a strong Machine Learning/AI Engineer to deploy and maintain state-of-the-art models and embed them in production systems that combine vision-language models, computer vision, and agentic components. You write clean, efficient, and highly parallelized code to improve and extend our physical AI stack, and you help make building and deploying new features on Ramblr One faster and more reliable. Drawing on your understanding of modern deep neural networks and agentic systems, you take responsibility for the performance and reliability of our platform. You build and optimize parts of our AI stack and integrate them efficiently into our products.