Machine Learning Engineer

Machine Learning Engineer - ZAITRA

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• Machine Learning Engineer

Career Machine Learning Engineer

Machine Learning Engineer

ZAITRA, established in 2020, is a startup with a primary emphasis on delivering tailored flight software and cutting-edge AI solutions for space missions. Our endeavours encompass projects for both the European Space Agency and commercial customers.

About the role

As a Machine Learning Engineer, you’ll design and optimize AI models for deployment on spacecraft and satellites. This entails:

• Designing, training and optimizing machine learning models for edge devices with limited computational resources.

• Preprocessing and augmenting multispectral and hyperspectral satellite imagery at various processing levels to ensure high-quality data for ML models.

• Working with computer vision algorithms for edge devices that serve either as a preprocessing step for ML models or as stand-alone solutions.

• Collaborating with hardware and software engineers to integrate AI models into embedded systems.

• Conducting research based on project needs—exploring both emerging and established methods.

• Contributing to the technical sections of ESA proposals and final project reports (e.g., for ESA or TA CR).

• Co-authoring our research papers and publications to share findings with the scientific community.

• Documenting your work and contributing to the development of internal tools and frameworks.

Required qualifications

• Solid technical background in computer science, machine learning, or a related field.

• Proven experience in training, optimizing, and deploying machine learning models (e.g., convolutional neural networks).

• Knowledge of computer vision principles and techniques, including traditional approaches and deep learning-based methods.

• Strong programming skills in Python, with knowledge of ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Familiarity with edge AI techniques like quantization, pruning, and model compression.

• Experience with version control systems (Git), including branching, merging, and writing clear commit messages.

• Strong analytical and problem-solving skills.

• Enthusiasm for space.

What we offer

• Hybrid work (preferably with at least 3 days a week in our office).

• Flexible working hours.

• Modern offices near the center of Brno.

• Direct impact on the development and direction of products for space missions.

• Involvement in the development of solutions to be deployed in Earth’s orbit and beyond.

• 5 weeks of vacation.

• Meal vouchers.

• Team-building activities and company events.

What is nice to have

• Experience in embedded systems or optimizing AI models for constrained hardware.

• Familiarity with satellite imaging (e.g., hyperspectral, multispectral data).

• Knowledge of C++ or Rust for high-performance model implementation.

• Active contribution to open-source projects.

• Understanding of ECSS.

• Experience with model deployment frameworks (e.g., ONNX, TVM, OpenVINO, TensorRT).

• Authorship or co-authorship of published research papers in relevant domains (e.g., AI, computer vision, or remote sensing).

Interview process

• Submit your CV and short cover letter via email to [email protected].

• Attend a 30-minute call with the CTO and HR.

• Complete a short take-home task.

• Participate in a 60-minute technical screening, including a review of your task.

• Receive an offer.

Where: Brno

Type: Full time

Contact: [email protected]

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