Machine Learning Engineering Manager

hydrosat • Greater Toulouse Metropolitan Area
Visa Sponsorship Relocation
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AI Summary

Lead a team of ML engineers, develop scalable models for image classification, segmentation, and data fusion, and drive innovation in thermal and multispectral data fusion using DL techniques.

Key Highlights
Lead a team of ML engineers
Develop scalable models for image classification, segmentation, and data fusion
Drive innovation in thermal and multispectral data fusion using DL techniques
Key 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
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
Technical Skills Required
PyTorch TensorFlow Scikit-learn AWS GCP Azure Docker Kubernetes CNNs Transformers Self-supervised learning MLOps CI/CD for ML Model serving Experiment tracking
Benefits & Perks
Competitive compensation package
Stock options to share in Hydrosat's long-term success
Fast-moving, mission-driven startup environment with real ownership
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

Job Description


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

  • Competitive compensation package
  • 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 + relocation bonus
  • Meal vouchers included
  • Living and working in Luxembourg - explainer for newcomers
  • International Schooling, Transport, Quality of Life
  • Testimonials


Please note: 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. Ranked among the world’s happiest countries - #9 globally in the 2026 World Happiness Report - Luxembourg combines prosperity, health, freedom, and strong social support in one of Europe’s most attractive career destinations.


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