Diagnocat is seeking a Middle Computer Vision Research Engineer to help advance state-of-the-art AI solutions in dental imaging and treatment planning. This is an exciting opportunity to apply your computer vision and deep learning expertise to real-world healthcare challenges, pushing the boundaries of technology in the Software-as-a-Medical-Device industry.
About us:
Diagnocat is the global technological leader in AI-powered dental imaging. Our solutions help dentists reduce diagnostic errors and save valuable time by seamlessly integrating computer vision into their workflow. With CE mark in EU, FDA approval in the US, and multiple patents, our products are trusted by thousands of clinics worldwide.
Main responsibilities:
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Research and develop state-of-the-art models for 2D/3D segmentation, object detection, classification, landmarking, and object generation on X-rays, photos, CBCTs and point clouds.
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Engineer robust pipelines for data preparation, training, and evaluation.
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Integrate models into production and support their performance in real-world clinical settings.
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Take ownership of your contributions and ensure their reliability at scale.
Requirements:
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2+ years of experience in Computer Vision with a proven track record of building and deploying commercial solutions.
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Solid fundamentals in Machine Learning, Deep Learning, and Computer Science
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Proficiency with Python, PyTorch, NumPy, SciPy and other standard libraries used for ML development.
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A solid understanding of how DL frameworks work including memory utilization, identifying bottlenecks, optimization techniques, and leveraging features to improve training and generalization.
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AI Nativity: proficiency in leveraging AI agents, coding assistants, and LLMs to accelerate research, optimize code, and streamline daily workflows.
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Competence in Linux, git, docker, bash, and other related tools.
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Strong technical English communication skills.
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An inquisitive mindset, always eager to explore new approaches and seek improved solutions.
What we offer:
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Impactful Work: Make a meaningful difference quickly — your contributions will be deployed into production to help real patients worldwide.
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Innovative R&D: Tackle interesting, state-of-the-art Computer Vision challenges with the freedom to create something entirely new, from custom model architectures to novel training approaches.
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Compensation: Competitive salary with stock option opportunities.
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Flexibility: Flexible working hours and fully remote work options.
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Scientific Contribution: Opportunities to publish papers, secure patents, and contribute to cutting-edge medical AI research
