Machine Learning Engineering Intern
- New York, NY, USA
Butterfly Network’s mission is to democratize medical imaging, a life-saving technology that is inaccessible to the 2/3 of the world. We operate at the intersection of hardware, software, and medicine and have created the first affordable full stack solution to this problem. If you have a passion for doing challenging work that will touch the lives of those you love, you will enjoy working with us.
The Butterfly iQ is the world’s first handheld whole-body imager. Built upon cutting-edge technology that miniaturizes the traditional ultrasound system onto a single semiconductor chip, the iQ is combined with a native mobile-first, cloud-based software platform and AI assistance. The iQ is FDA-cleared and is being used in hospitals and clinics across the US. There has never been a more exciting time to join us in revolutionizing the medical imaging industry and saving the lives of people around the globe.
Building “intelligence” into our software is the responsibility of the Deep Learning Team.
We’ve built a strong research team and are looking for talented Software Engineers, Data Scientists and Research Scientist interns. This role is best suited for engineers interested in learning about machine learning and building components of high-impact, life-saving systems.
Each internship will involve working alongside other research scientists, software engineers and a world-class clinical team to help develop a new suite of “intelligent” medical products.
Examples of Projects
Designing Algorithms for interpretation of machine learning models.
Real-time analytics systems that monitor the performance of models and annotations.
Optimizing speed and size of neural networks on mobile devices
Next generation distributed infrastructure for training machine learning models.
Working on CS undergraduate or graduate degree.
Familiarity with engineering best practices and design patterns.
Good to have:
Working on MS or Phd in computer vision, data science or machine learning.
Experience with machine learning infrastructure or models.
All your information will be kept confidential according to EEO guidelines.