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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.
Lead Engineer - Go, Python, AWS
Are you an enthusiastic, experienced engineer with excellent experience in Go or Python, looking for the opportunity to work in a small and growing start-up?
MachineMax is actively hiring a Lead Engineer to join them - a team of around 20 people, they are creating a world first machine analytics service that will deliver, analyse and visualise data to improve machine efficiencies through the use of IoT technologies, Machine Learning methods, and cutting-edge techniques.
This is a true opportunity to shape and build both a product and an engineering culture. Far from your typical start-up, MachineMax has been incubated with BCG Digital Ventures, a fortune 50 corporate partner, and a venture capital firm managed by a Facebook founder.
As a Lead Back End Engineer you'd be joining a tight-knit, collaborative team in a role that is a mixture of hands on coding, mentorship of less experienced developers, and contribution of software development expertise to the rest of the venture team.
Responsibilities: Develop a range of APIs to serve multiple internal consumers, from customer facing apps to machine learning pipelines Design and deliver high quality, well-tested code in Go/Python Communicate with other teams and individuals to plan, coordinate and collaborate Pitch in where needed as a valued member of an autonomous, cross-functional team Share technical solutions and product ideas Champion testability, security, and scalability
Requirements: Excellent development experience building scalable backend services in Go or Python Excellent architecture and design skills Experience working with distributed systems Analytical skills, with a love for problem solving and troubleshooting Confidence in deploying production applications using AWS, Google Cloud or similar Enthusiasm for CI/CD and the benefits you've seen when using this in previous projects A strong understanding of databases and when to use relational and non-relational A strong understanding of the fundamentals - data structures, algorithms, OO design and system architecture Unix/Linux experience Communication skills, happy to collaborate and talk with the rest of the team Solid understanding of Agile development methods
Bonus, shares, free gym, pension, subsidised canteen, and nice people!
Mixture of F2F interviews and coding tests.
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