Senior Research Scientist: Artificial Intelligence at IBM

Your Role and Responsibilities
Are you passionate about using cutting-edge technology to accelerate discovery and solve some of the world’s hardest problems? If so, and if you are driven, growth-minded and have outstanding problem solving, communication and inter-personal skills, then you could have a successful career as a research scientist with us.

The AI science team at the IBM Research lab in Johannesburg South Africa is looking for an outstanding researcher with a strong demonstrated research and innovation track record to perform original research advancing the state of the art in neuro-symbolic AI for natural language understanding. Neuro-symbolism aims to combine the fault-tolerance, parallelism and learning of connectionism with the logical abstractions and inference of symbolism. The right candidate is interested in developing neuro-symbolic architectures and models to demonstrate the advantage of neuro-symbolic learning and reasoning in natural language understanding.

In your role as a Research Scientist, you will define and perform cutting-edge, innovative research, publishing at top venues and journals in AI. In IBM Research you will connect and collaborate with leading researchers around the world and to engage with internal and external stakeholders to identify opportunities, plan a research agenda, provide advice to product groups based on research results, and help transfer research technologies for adoption.

Required Technical and Professional Expertise

• A Master’s or PhD degree in Computer Science, Computer Engineering, Statistics or related fields

• Minimum 3 year’s experience

• Proven publication track record at top machine learning, speech, vision, or natural language processing conferences and/or high-impact scientific journals

• Expert in machine learning, deep learning and natural language processing

• Excellent software development and coding ability in C++, Java , Python, R or related programming languages

Preferred Technical and Professional Expertise

• Cloud native application platforms, containers and container management

• Unix-like environments, shell scripting, version control, and service-oriented architectures

• Neuro-symbolic AI, abstract meaning representation, knowledge graphs

• Analysing large scale data from a variety of sources

• DevOps and Agile