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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Zillow - **Location:** Germany (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Computer Vision, Software Quality, Information Engineering, Software Debugging, Monitoring of Systems, Python (Programming Language), Machine Learning, Productivity Software, Software Tools, Tensorflow, Software Engineering, Spatial Data Infrastructures, TypeScript, Data Processing, Pytorch, Apache Spark, Backend, Kubernetes, Machine Learning Operations, Stream Processing, Data Pipelines - **Published:** June 4, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=13b60272c75ecb3f ## About the Role Do you have experience in TypeScript?, * You have 1-3 years professional experience building and shipping machine learning models or ML-powered systems in production. * You have strong hands-on proficiency in Python and at least one modern machine learning framework, such as PyTorch, JAX or TensorFlow. * You have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) * You have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) * You have experience using backend code languages such as TypeScript or Go to fully implement ML-powered systems end-to-end * You have experience building and operating end-to-end machine learning workflows, including data pipelines, model training, evaluation, deployment, and monitoring. * You have a strong foundation in machine learning fundamentals such as representation learning, structured prediction, computer vision, optimization, and failure analysis. * You are comfortable debugging model and system behavior in real-world environments and using metrics, logs, and experiments to improve outcomes. * You collaborate effectively with applied scientists, software engineers, and product partners in ambiguous, cross-functional settings. * You have strong engineering judgment and know how to balance experimentation with reliability, speed, and long-term maintainability. * You communicate technical ideas clearly and can influence decisions across disciplines. Nice to have * Experience in computer vision, spatial data, 3D, AR/VR, or related domains is a plus. ## Description This is a high-impact individual contributor role for someone who loves operating at the intersection of modeling and systems. As a Machine Learning Engineer, you'll help shape how Zillow builds production-grade machine learning systems for rich media experiences, partnering across applied science and engineering to turn promising ideas into reliable, scalable product capabilities., * Productionalization: Owning the transition from research code to production-ready and optimized models. Establishing CI/CD pipelines that allow scientists to deploy models in short iteration cycles. Innovating upon our existing monitoring systems that make our services reliable and give scientists insight into the performance of their models in production. Designing services to expose ML models to Zillow's end customers * Data: Good data is key to many SOTA ML methods. You will own our team's datasets, lead and support data engineering projects, understand datasets from other teams, and collaborate with scientists and other teams to prepare them for model training. * Training & Experimentation: Owning projects and supporting scientists in running large-scale training and data processing by collaborating with them on specific projects, establishing generalized best practices, and sharing expertise around performance and software engineering principles, while leveraging AI coding and productivity tools. * Modeling: Staying on top of cutting-edge research (for example, on platforms like Arxiv, X, and Papers With Code ) and modifying its methods for our use cases in innovative ways to enable new product experiences or improve existing ones. * Dev & MLOps: Establishing best practices around code quality, testing, and ownership that allow us to move fast without compromising reliability (and sleep). Participating in our existing on-call rotation ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)