[Hiring] AI/ML Engineer @MWDN

Role Description

We are looking for a curious, creative, and product-minded AI/ML Engineer who can significantly improve our computer vision capabilities and identify new opportunities to apply AI across the product.

• Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition.
• Build solutions involving object detection, image segmentation, classification, and pattern recognition.
• Train, fine-tune, evaluate, and deploy computer vision and machine learning models.
• Experiment with modern vision models, foundation models, and multimodal AI technologies.
• Research new AI approaches and evaluate their potential value for the product.
• Rapidly build prototypes and validate technical ideas.
• Improve model accuracy, reliability, performance, and inference efficiency.
• Work with visual data and develop effective data preparation, training, and evaluation pipelines.
• Explore the use of LLMs, embeddings, vision-language models, and other emerging AI technologies.
• Use AI coding tools and agents to accelerate development, research, debugging, and prototyping.
• Think beyond individual algorithms and identify ways AI can improve the overall product and user experience.
• Take ownership of technical challenges from initial research through implementation and deployment.

Qualifications

• 2–3 years of hands-on professional experience in AI/ML, computer vision, or a closely related field.
• Strong Python skills.
• Practical experience building and improving real-world computer vision systems.
• Strong understanding of machine learning fundamentals.
• Hands-on experience with PyTorch or another modern machine learning framework.
• Experience with object detection, image segmentation, classification, and pattern recognition.
• Experience training, fine-tuning, evaluating, and deploying ML models.
• Familiarity with modern computer vision models and foundation models.
• Experience using AI coding tools or agents for development, research, debugging, and rapid prototyping.
• Familiarity with LLMs, multimodal AI, embeddings, or vision-language models.
• Strong problem-solving skills and the ability to work with open-ended technical challenges.
• Ability to move quickly from an idea or hypothesis to a working prototype.

Requirements

• Experience working with aerial, satellite, drone, or geospatial imagery.
• Experience with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction.
• Previous experience in construction, property technology, mapping, robotics, or a similar industry.
• Experience deploying ML solutions in cloud environments.
• Knowledge of GPU computing, inference optimization, or model performance optimization.
• Experience with OpenCV, C/C++, or MATLAB.

Benefits

• People-first management with minimal bureaucracy.
• A friendly company culture, proven by employees who choose to return.
• Flexible working hours.
• 29 days of PTO (18 working days per year plus all national holidays).
• 10 paid recovery days.
• Full financial and legal support for independent contractors.
• Free English classes, with native speakers or Ukrainian teachers.
• Dedicated HR support.