United States onlyAbout Artisight, Inc.
Artisight, Inc., is a smart hospital platform powered by industry-defining artificial intelligence to provide virtual care, quality improvement, and care coordination. Anchored in deep clinical knowledge and industry-defining artificial intelligence, Artisight’s state-of-the-art computer vision and robust multi-sensor network adapts in real-time to specific environments and workflows, unlocking previously inaccessible data and ensuring seamless integration into your healthcare ecosystem.
About the role
We are seeking an AI Scientist with expertise in Vision AI — including image classification, object detection, image segmentation, video classification, text-to-image generation, text-to-video generation, image-to-video synthesis, and related tasks. The ideal candidate will hold a Master’s or PhD in applied AI, computer vision, or machine learning, with a proven research track record through open-source contributions or peer-reviewed publications in top-tier conferences/journals.
As an AI Scientist, 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.
What you'll do
- Research, design, and implement cutting-edge computer vision models for tasks such as image classification, object detection, semantic/instance segmentation, and video understanding.
- Develop and optimize generative vision models, including text-to-image, text-to-video, and image-to-video approaches.
- Train, fine-tune, and evaluate large-scale vision foundation models, adapting them to 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 from the research community into production applications.
- Document and share research outcomes through technical reports, internal presentations, and where appropriate, or external publications.
Qualifications
- M.S. or Ph.D. in computer science, electrical engineering, applied AI, machine learning, or 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 one or more of:
- Image classification and object detection
- Image segmentation (semantic, instance, or panoptic)
- Video classification and temporal modeling
- Text-to-Image / Text-to-Video generation
- Image-to-Video or video synthesis
- Strong knowledge of deep learning methods (transformers, diffusion models, CNNs, self-supervised learning, multimodal architectures).
- Proficiency in frameworks such as PyTorch or TensorFlow, with experience in large-scale vision model training.
- Familiarity with deployment tools such as ONNX, NVIDIA Triton, or similar inference platforms.
- Strong problem-solving skills and the ability to clearly communicate research insights across disciplines.
Nice to haves
- Experience with multimodal learning (vision + audio + text).
- Familiarity with 3D vision, medical imaging, or spatiotemporal models.
- Experience with real-time video analysis and low-latency deployment.
- Contributions to open-source vision projects (e.g., Detectron2, MMDetection, Segment Anything, Stable Diffusion, OpenMMLab).
Artisight is committed to fostering a diverse and inclusive workplace where individuals of all backgrounds, experiences, and identities are welcomed and valued.
We actively encourage and welcome all candidates apply for this position, regardless of whether they meet 100% of the listed qualifications. We recognize that qualifications are not solely determined by a checklist but also by an individual's potential, growth mindset, and capacity to learn and contribute effectively to our team.
Our recruitment and selection processes are designed to be fair and equitable, and we strive to eliminate any biases that may exist. We value diversity not only in terms of physical identity, e.g., gender, race, ethnicity, etc but also in perspectives, experiences, and backgrounds.
We believe that a diverse workforce enriches our organization by bringing a variety of perspectives, ideas, and experiences to the table. We are committed to promoting a culture of inclusion and respect, and we actively seek to create an environment where everyone can thrive and contribute to our success.
We invite all qualified individuals to consider joining our team and contributing to our mission and vision. Your unique talents and perspectives are valued assets that can help us achieve our goals.
