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How would you steam live audio traffic across multiple services into a machine learning model? What is the memory consumption of a service streaming data with maximum network utilization? How would you handle images send to a GraphQL endpoint?
At Corti, we have proven a life saving technology that augments emergency medical dispatchers with machine learning. We envision a near future where all emergency dispatchers around the globe are augmented by our intelligence. We are proud to say that the engineers at Corti are saving lives. A life saving engineer is dedicated, seeks for real purpose and is proud to the extent of obsession. We don't need the ninjas and wizards, we need people who own every aspect of their work at any time.
To get there, we need to solve problems that go way beyond picking the right text editor. The engineering team at Corti owns the entire stack, from live audio capture, real time traffic processing and classification using machine learning models to the hardware on the dispatcher desk, the servers in the basement and the right cloud strategy.
We pick our team members carefully so we can maintain our culture of excellence. We look for complementing skills and characters and care less about your degree, certifications and experience. You can't hide behind your screen as we are a team that believes in collaboration across all the departments at Corti.
You can solve problems and you can proof it to us. You are better at estimating memory usage than remembering the exact implementation of quicksort. A new problem stimulates your creativity rather than your hippocampus. Working cross domain is a bonus for you and you are eager to widen your horizon.
While we have a core set of tools, programming languages and concepts we work with, we will definitely going to ask you to learn something new. Never worked with machine learning? This will change. Writing a parser for a network protocol? It will happen. Transitioning a customer to the cloud? The sky isn't the limit for us.
We are looking for someone experienced in Golang to support our backend team. You would be mostly working on the REST and GraphQL API and the integration with the models from the machine learning team.