Location
Remote, Moscow
Company
DiagnoCat develops AI-powered dental imaging and treatment-planning solutions in the Software-as-a-Medical-Device industry, with CE marking in the EU, FDA approval in the US, and products used by clinics worldwide.
What you will do
•Research and develop state-of-the-art models for 2D/3D segmentation, object detection, classification, landmarking, and object generation.
•Apply computer vision to X-rays, photos, CBCTs, and point clouds.
•Engineer robust data preparation, training, and evaluation pipelines.
•Integrate models into production and support performance in real-world clinical settings.
•Own contributions and ensure their reliability at scale.
Requirements
•2+ years of Computer Vision experience with a proven record of building and deploying commercial solutions.
•Strong fundamentals in Machine Learning, Deep Learning, and Computer Science.
•Proficiency with Python, PyTorch, NumPy, SciPy, and standard ML development libraries.
•Understanding of deep learning framework internals, including memory utilization, bottleneck identification, optimization, training, and generalization.
•Proficiency in using AI agents, coding assistants, and LLMs to accelerate research, optimize code, and streamline workflows.
•Competence with Linux, Git, Docker, Bash, and related tools.
•Strong technical English communication skills.
•Inquisitive mindset and willingness to explore new approaches and improve solutions.
Culture & Benefits
•Fully remote work with flexible working hours.
•Contributions are deployed into production to support real patients worldwide.
•State-of-the-art Computer Vision R&D with freedom to create custom architectures and novel training approaches.
•Competitive salary with stock option opportunities.
•Opportunities to publish papers, secure patents, and contribute to medical AI research.
