Nines is the first-of-its-kind radiology service. Our radiologists and engineers are on a mission to build world-class tools to enable the best radiologists to deliver the best patient care. We’re co-founded by David Stavens, former co-founder and CEO of Udacity, and co-founder of Stanford University’s self-driving car team (acquired as the foundation for Waymo). With the support of iconic VCs Accel Partners (early Facebook, Spotify, Dropbox, Slack investor) and 8VC (Oscar Health, Oculus, Hyperloop), and partnerships with several of the top health systems in the entire US, we are bringing the power of modern AI to radiology.
Key to building a host of clinical AI algorithms is our machine learning development environment. Our Machine Learning Operations (ML Ops) team is responsible for managing this environment and optimizing the velocity of development for machine learning models. We accomplish this by operationalizing all aspects of the model development lifecycle. This includes examining pain points of the development cycle and looking for opportunities to automate workstreams by building services with clean APIs. As the ML Ops team executes on reducing our key metric, the time-to-model-development, we empower our machine learning engineers to deliver the highest quality models in healthcare.
As a Senior Full-Stack Engineer on the ML Ops team, you will have an exciting opportunity to apply your knowledge of service-oriented architectures towards creating world-class machine learning systems in a regulated healthcare space.