The Story Behind the Role

The role mentions deploying tech into 'real-world healthcare environments.' What does the collaboration between AI scientists and clinical teams look like at Artisight?

Our platform is anchored in deep clinical knowledge, so collaboration is key. As an AI Scientist, you won't work in a silo. You will collaborate closely with our AI engineers and product teams, who have a deep understanding of healthcare workflows. This ensures that the cutting-edge vision models you design are not just technically excellent, but are also seamlessly integrated and adapted to solve real-world clinical challenges.

The qualifications are research-heavy (Ph.D., publications). How much of the role is pure research versus applied engineering?

This role is at the intersection of research and application. We expect you to stay at the forefront of vision AI research and design novel models. However, the goal is always deployment. You will be responsible for training, fine-tuning, and evaluating large-scale models and working with our teams to integrate them into our live platform. It’s about turning breakthrough research into production-ready, life-improving technology.

What is the most exciting project the Vision AI team is working on right now?

While I can't share specifics, I can say that we are currently developing a novel system that uses real-time video analysis to predict and prevent patient falls in hospitals. It's a challenging project that has the potential to save lives and significantly reduce healthcare costs. The team is incredibly passionate about it, and it's a great example of the meaningful work we do at Artisight.

Artisight is seeking an AI Scientist with deep expertise in Vision AI to join our team. In this role, you will work at the intersection of research and application—designing novel vision models, collaborating with cross-functional teams, and deploying these technologies into real-world healthcare environments to power our smart hospital platform. This is a high-impact role for a candidate with a Master’s or PhD in a related field and a proven research track record.

What You'll Do

Research, design, and implement cutting-edge computer vision models (image classification, object detection, segmentation, video understanding).
Develop and optimize generative vision models (e.g., text-to-image, text-to-video).
Train, fine-tune, and evaluate large-scale vision foundation models for healthcare-specific applications.
Collaborate with AI scientists, engineers, and product teams to integrate vision AI capabilities into Artisight’s platform.
Stay at the forefront of vision AI and multimodal learning research, bringing innovations into production.

What You'll Need

M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied AI, or a related discipline.
Demonstrated expertise in computer vision research, evidenced by open-source contributions or peer-reviewed publications (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).
Hands-on experience with image/video classification, object detection, segmentation, and/or generative models.
Strong knowledge of deep learning methods like transformers, diffusion models, and CNNs.
Proficiency in PyTorch or TensorFlow for large-scale model training.
**Nice to have:** Experience with multimodal learning (vision + audio + text), 3D vision, medical imaging, or real-time video analysis.