Machine Learning Engineering Manager

Hydrosat is a space and data analytics company building a new Earth Observation constellation and software to unlock the power of thermal infrared imagery. Our mission is to capture and deliver high spatio-temporal resolution thermal infrared data, currently not available from other sources, to provide insights that benefit the environment, enhance food and water security, and serve other critical applications. Our downstream applications team in Luxembourg combines best-in-class remote sensing, machine learning, and cutting-edge fusion approaches to thermal imagery to deliver innovative and scalable solutions to the agri-food industry. We are looking for bright, creative, and ambitious people who can work in a dynamic and collaborative start-up environment. Hydrosat is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world. As Machine Learning Engineering Manager , you will lead a team of scientists and engineers applying advanced machine learning and deep learning techniques to satellite imagery and geospatial data. Your team will develop scalable models for image classification, segmentation, and data fusion, leveraging high-performance and cloud computing platforms. You’ll be responsible for technical direction, mentoring, and ensuring that pipelines are reliable, reproducible, and aligned with Hydrosat’s product vision. Responsibilities Lead and mentor a team of ML engineers focused on ML/DL for Earth Observation data. Oversee the development of robust, scalable models for image classification, segmentation, and feature extraction. Drive innovation in thermal and multispectral data fusion using DL techniques. Collaborate closely with product and engineering teams to deploy models in production. Define and promote MLOps best practices, including model versioning, monitoring, and retraining workflows. Review model architecture, training pipelines, and code quality. Support research and proposal writing, and represent Hydrosat in external collaborations. Define team objectives and track progress toward key results. Coach team members on technical excellence and career development. Hire, onboard, and retain talent. Qualifications Master’s in computer science, machine learning, physics, mathematics, or related field. 10+ years of experience in data science, machine learning, or computer vision. 2+ years in a leadership role managing ML teams. Proven expertise in deep learning (CNNs, transformers, self-supervised learning). Solid understanding of modern MLOps practices (CI/CD for ML, model serving, experiment tracking). Proficiency with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Experience with cloud platforms (AWS, GCP, Azure) and containerized workflows (Docker, Kubernetes). Demonstrated ability to build and deploy ML models at scale. Excellent communication and organizational skills. Proficiency in English (written and spoken). Nice to have: PhD in computer science, machine learning, physics, mathematics, or related field. Experience with image analysis and geospatial data Familiarity with thermal infrared or multispectral satellite data. Experience with high-performance computing environments. Prior work integrating ML/DL models into production EO pipelines. Benefits Attractive compensation package Equity through stock option plan – be part of our long-term success Fast-paced, dynamic startup environment with real impact and ownership Hybrid work model Work-from-anywhere flexibility EU Visa sponsorship if needed Attractive Luxembourg tax breaks upon relocation & relocation bonus Meal vouchers #J-18808-Ljbffr