4 software engineering jobs found in Munich

Orbem is an impact-driven deep-tech scaleup with global reach, founded in Munich, Germany and now expanding internationally with our newest office in Houston, Texas.   We develop fast, accurate, and accessible imaging solutions that provide access to otherwise unattainable sources of knowledge. We seek to make a difference – and develop solutions to sustainably feed the world, accelerate the transition to a green economy, and transform disease detection. Join us   on our mission to unleash AI-powered imaging for everything and everyone. Staff Machine Learning Engineer (f/m/d) Starting date:   As soon as possible Yearly Salary:   €90,000 - €100,000 (fixed range, annual gross) Equity:   €40,000 to €80,000 in company shares Benefits:   Up to €5,000 annually Work model:   Full-time, Hybrid (Munich, Germany) Your role As a   Staff Machine Learning Engineer , you will be at the forefront of building the intelligent...

Founded in Munich, Germany in 1989, Brainlab develops, manufactures and markets software-driven medical technology, enabling access to improved, more efficient, less-invasive patient treatments. Our key to success is our creative, talented and hard-working team, which consists of around 2400 dedicated and inspiring individuals in 25 locations worldwide. To succeed in reaching our targets, we are seeking committed colleagues who can stand behind our core values ​​curious, authentic and useful. Job Description Within our R&D RT Positioning division we have several software and hardware teams working in an agile environment on solutions to accurately position patients for cancer radiotherapy. To support our teams in setting up and automating our complex test environments, we are looking for a new automation or software engineer. You will actively look for ways to further automate our test environments, enabling more realistic tests and reducing the time spent setting...

Your mission Design and maintain scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, acoustic, depth, IMU, and other modalities). Own and improve datasets for object detection and classification tasks, ensuring statistical robustness, diversity, and representativeness. Build and operate active learning loops to select high-value samples, reduce annotation cost, and continuously improve model performance. Write robust preprocessing pipelines using Python, NumPy, Pandas, and augmentation libraries like Albumentations. Manage labeling workflows, including QA rules, label consistency checks, vendor coordination, and dataset versioning. Collaborate with ML Engineers to fine-tune, train, and evaluate object detection models and feed insights back into the data pipeline. Analyze model weaknesses, uncover blind spots, and drive dataset improvements through statistical diagnostics and drift/bias detection. Create...

Who we are At Supermodular AI, we believe AI is revolutionizing the way people and organizations work—making teams more efficient and focused on what truly drives success. We partner with IT organizations to develop tailored AI Agents that seamlessly integrate into enterprise workflows, automate complex tasks and accelerate business outcomes. Our approach is not about adding more tools but about embedding AI into the systems IT professionals already use, ensuring automation and intelligence align with their unique challenges. From DevOps and cloud migration to cybersecurity and business continuity, our Agents address the most critical pain points by learning from the organization and evolving with its needs. Although we are a young company, our team has a proven track record in building high-impact AI solutions and scaling engineering teams. With our first clients already benefiting from our technology, we are on a fast-growth trajectory to redefine how IT...