Help us grow the business and improve healthcare
Our solutions platform creates actionable insights - for individuals, teams and companies- from the increasing amounts of data generated by the healthcare system.
Join us making this dream a reality. Our culture is open, enjoyable and we are always looking for talented colleagues. Check out the openings or send us your details.
We are looking for an engineer who is ready to break out and build his/her own company utilizing the latest technologies. Starting with open-source active cognitive assistance technology made available by Carnegie Mellon University, you will design and implement new machine learning algorithms and techniques that can be utilized and commercialized. In this role, you will design and implement new machine learning, deep learning, NLP and computer vision algorithms, and incorporate them into a cohesive platform optimized for healthcare environments. You will be joining the staff/faculty of Carnegie Mellon University and then taking on the CIO / Co-Founder / Owner of the yet-to-be determined VIZR Tech / CMU Collaborative spin-out company. You will have the opportunity to engage and collaborate with CMU computer science researchers, plus all the affiliated support systems attached to the University. If qualified, you may also join the faculty as an adjunct professor of CMU.
Deep technical skills in machine learning, deep learning, computer vision, natural language processing, or artificial intelligence
A passion for making these methods robust and scalable
Strong software development skills, with proficiency in Python and C++ preferred Ability to explain and present analyses and machine learning concepts to a broad array of audiences (technical, customer, and investor)
Creative, collaborative, & product focused
Education & Experience
PhD in Machine learning, Statistics, Computer Science, Physics, or related field with 2+ years of machine learning research experience MS in related field with 2+ years building machine learning models in industry
Developing and implementing production-ready algorithms and methods
Co-developing machine learning solutions with data scientists and engineers on product teams
Providing technical guidance to product teams on the choice of machine learning approaches appropriate for a task