Computer Vision Researcher - Fully Remote

Computer Vision Researcher
United States | $170,000 to $190,000 base salary plus bonus and benefits

This high‑impact research role focuses on applying advanced computer vision and deep learning techniques to real‑world healthcare problems. You will work with large‑scale medical imaging data and see your research move from experimentation into production, directly influencing quality of care.

We are a healthcare technology organization that uses AI and data science to improve clinical decision‑making and patient outcomes. Our platforms combine large‑scale medical imaging data with rigorous, science‑led research, working closely with clinical and engineering teams.

• Research, develop and deploy computer vision models in production environments
• Work with large‑scale medical imaging data including MRI, CT and X‑ray
• Design and evaluate deep learning architectures for image classification, detection and representation learning
• Apply modern techniques such as convolutional neural networks, transformers and multimodal learning
• Collaborate with engineers, data scientists and clinical experts to shape the research roadmap
• Contribute to publications, conference submissions and internal innovation initiatives
• Support best practices in research and mentor other team members

• Strong applied research experience in computer vision and deep learning
• Hands‑on expertise with CNNs, vision transformers, image segmentation and feature extraction
• Experience working with large image datasets and complex labelling challenges
• Proficiency in Python and Py Torch
• Ability to take research ideas from concept through evaluation and deployment
• Comfortable working in multidisciplinary teams and communicating technical work clearly
• Experience with medical imaging, multimodal models or large‑scale training is beneficial

• Base salary between $170,000 and $190,000 plus discretionary bonus
• Comprehensive medical, dental and vision coverage
• Flexible time off and a strong focus on wellbeing
• Retirement plan and annual professional development stipend
• Clear progression opportunities into senior and research leadership roles