> Markdown version of [/jobs/ext/3059988-founding-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3059988-founding-machine-learning-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). --- # Founding Machine Learning Engineer - **Company:** Clera - **Location:** München, Germany (Remote available) - **Experience:** Experienced - **Salary:** €100,000.0 - €170,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Data Validation, Python (Programming Language), Machine Learning, Machine Learning Operations - **Published:** September 25, 2026 - **Apply:** https://www.careerjet.de/jobad/de93acffbc3853e1d31cae953e61927873 ## About the Role 3 or more years in machine learning engineering roles with a track record of delivering production ML systems. Hands-on experience with post-training data pipelines, including structuring, filtering, and scoring training data. Demonstrated experience building agent environments, tool interfaces, and RL training systems. Production software engineering proficiency in Python and systems-level programming for ML infrastructure. Experience designing and implementing evaluation frameworks and benchmarks for ML models. Deep understanding of trajectory data, reward modeling, and agent decision-making systems. Experience building data validation, provenance tracking, and observability systems for ML pipelines. Background at a frontier AI lab or on a post-training or evals team at scale is a strong plus. High agency, comfort with ambiguity, and the ability to bridge research and production seamlessly. ## Description This is a founding ML engineering role at an early-stage AI startup, where you will own the machine learning function from day one. Working closely with founders and researchers, you will shape the technical direction of post-training pipelines, agent systems, and the broader ML roadmap as the team scales. What You'll Do Structure, filter, and score experimental trajectories for training data pipelines. Design and implement evals and benchmarks that measure model reasoning, planning, and experimental improvement. Build reliable agent environments, tool interfaces, observability systems, and replay infrastructure. Establish robust validation and provenance tracking for trajectory and data quality. Set ML roadmap priorities across systems, experiments, and hiring decisions. Lead the technical direction of the ML team as it grows., On-site in Munich, Germany (primary location), with additional offices in Zurich, Switzerland and San Francisco, California. Remote arrangements may be discussed on a case-by-case basis. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)