Middle Computer Vision Research Engineer (AI)

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.