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.