Research and develop CNNs, transformers, multimodal foundation models, and domain-specific architectures (e.g., vision models for lesion tracking, image registration models, lesion segmentation neural networks)
Research, design, and build machine learning models tailored to complex medical imaging datasets
Conduct experiments and champion the exploration of new technologies and methodologies in AI and machine learning
Collaborate within a multidisciplinary team of product managers, radiologists, clinical scientists, AI and software engineers
Contribute to the broader technical vision and mentor teammates in ML best practices
Maintains Quality of Service and Departmental Standards by reading, understanding, and adhering to organizational Standard Operating Procedures (SOPs)
Participate in the design and development of our products, in collaboration with clinical partners, Product, and Customer Success teams
Contribute to the design and success of scientific publications

PhD, or Master’s degree with equivalent experience in Machine Learning, Computer Vision or a related field
Proficiency in Python and relevant machine learning frameworks (PyTorch)
Ability to design, run, and analyze experiments independently and communicate scientific results
Willingness to dive deep into complex medical topics and communicate with multidisciplinary teams
Understanding of machine learning and statistics principles, computer vision challenges, and medical imaging
Demonstrated record of working on research projects with peer-reviewed scientific communications, publications and/or talks
Strong theoretical and practical background in deep learning development demonstrated with proven track record of delivering AI solutions from prototyping to usage.
Experience with cloud platforms and MLOps tools is a plus
Experience of developing medical AI solutions and interacting with clinicians or participating in open-source medical projects
You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers
You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing scientific talent.

AI Scientist

Key skills