Software Dev Engineer II, Minerva

Are you passionate about using Software Engineering as a way to enable automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We are building a team of experienced SW Engineers to support this vision.
On this team you will partner with a mature team of Scientists to create the infrastructure and processes needed to support multiple use cases including abstracting text, image, and audio to support ML models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems. Our team has green-field opportunities to create the right infrastructure to support these use cases. We offer autonomy, value end-to-end, ownership, and a strong partnership with our experienced Science sister team. As a Software Development Engineer, you will define, design, implement and test the process and infrastructure to enable the Science community to develop, productionalize and monitor their models. You will be working with large distributed systems of data and providing technical leadership to product managers, teams, and organizations building infrastructure to support these machine learning solutions. As a SW Engineer, you will create solutions that are following the required Engineering rigor, building systems that follow the right level of performance, scalability, and availability standards. Come join us as we continue to revolutionize the book industry!

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
• Experience programming with at least one software programming language

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Bachelor's degree or equivalent