Machine Learning Engineering Manager - Remote Opportunity

About the Role

Join Hydrosat as a Machine Learning Engineering Manager and lead a dynamic team focused on transforming satellite imagery and geospatial data through advanced machine learning techniques. This remote position offers a unique opportunity to work on innovative projects that impact agriculture and environmental sustainability.

What You'll Do

• Lead and mentor a team of ML engineers focused on machine learning and deep learning 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 deep learning 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 to ensure high standards.
• Support research and proposal writing, representing 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 top talent in the field.

Requirements

• Master’s degree in computer science, machine learning, physics, mathematics, or a 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 such as PyTorch, TensorFlow, and 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 a 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.

What We Offer

• Competitive compensation package with stock options to share in Hydrosat’s long-term success.
• Fast-moving, mission-driven startup environment with real ownership.
• Hybrid work model with flexibility.
• EU visa sponsorship available when required.
• Attractive Luxembourg tax advantages for relocators, plus a relocation bonus.
• Meal vouchers included.
• Living and working in Luxembourg, known for its high quality of life and stable international environment.
• International schooling options and excellent transport facilities.

This role is based in Luxembourg and requires relocation. We are open to candidates from other locations and can sponsor a work permit where needed. Luxembourg offers a high quality of life, a stable international environment, and strong long-term lifestyle benefits for professionals considering relocation.