Software Engineer III, Google Research

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

The Google Research Africa team leverages a comprehensive pool of knowledge and expertise to advance sustainable solutions, helping address Africa's most pressing challenges and making AI more helpful for everyone. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will collaborate with other software engineers and researchers to design, develop, test, deploy, maintain, and enhance AI and ML software solutions.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

As a Software Engineer III at Google Research in Accra, Ghana, you will be part of a team working on cutting-edge technologies and AI solutions. You'll have the opportunity to contribute to projects that have a significant impact on addressing Africa's challenges and advancing AI research. The role requires a strong background in software development, data structures, and algorithms, with a focus on backend systems. You'll be involved in the entire software development lifecycle, from design and coding to testing and maintenance, with a particular emphasis on AI and machine learning applications.