Research Engineer, Machine Learning, Google Research

Experience in developing accessible technologies.

About the job

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. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Research Engineer for Google Research Africa, you will be working together with other Artificial Intelligence researchers to translate theoretical models and concepts into AI solutions that are relevant to the African continent.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Responsibilities

• Develop rapid prototypes to assess the feasibility and performance of potential Artificial Intelligence solutions.
  
• Design robust pipelines for taking Artificial Intelligence models from the research stage to production-level systems within African organizations.
  
• Collaborate on sourcing, cleaning, and preparing datasets unique to African contexts, ensuring they are suitable for Artificial Intelligence training and evaluation.
  
• Build tools and APIs that help researchers and other stakeholders interact with and understand the outcomes of Artificial Intelligence models.
  
• Contribute to open-source Artificial Intelligence initiatives within Africa, create documentation, and train others on the use of developed Artificial Intelligence software systems.