Research Scientist – Artificial Intelligence

Key Skills

Java Programming, Python Programming, C++, SQL, MATLAB Programming, PyTorch, TensorFlow, Theano, R Programming, Caffe, Torch library

Job Description

IBM Research Scientists are charting the future of Artificial Intelligence, creating breakthroughs in quantum computing, discovering how blockchain will reshape the enterprise, and much more. Join a team that is dedicated to applying science to some of today’s most complex challenges, whether it’s discovering a new way for doctors to help patients, teaming with environmentalists to clean up our waterways or enabling retailers to personalize customer service.
Your Role and Responsibilities
We are looking for talented research scientists to join our AI Science learning group who are as passionate as we are about artificial intelligence, advancing science, and inventing the next generation of intelligent machines.
As an IBM researcher, you will work on the most cutting-edge, exciting projects and collaborate with top researchers both inside IBM and at our partner universities. Your creativity and innovative problem solving will be essential to the success of our team and the company. We want to bring out the best in you and expect you will do the same for us!Required Technical and Professional Expertise

• Advanced skill level in creating and applying novel machine learning algorithms, reasoning algorithms, and neuro-symbolic hybrids.
• Advanced skill level in NLP.
• Knowledge of generalization and specifically compositional generalization research.
• Expertise and experience in programming in one or more of these languages: Python, Java, C++, Matlab, R etc.
• Experience in clearly and effectively communicating research ideas in peer-reviewed technical conferences such as NeurIPS, ICML, AAAI, ICLR, IJCAI, ACL, EMNLP, NAACL, ICAPS, etc.

Preferred Technical and Professional Expertise

• PhD in machine learning, artificial intelligence, or computer science.
• Advanced skill level with standard machine learning techniques and frameworks.
• Basic knowledge of reinforcement learning
• Experience with machine learning tools and frameworks including TensorFlow, PyTorch, Torch, Caffe, and Theano etc. a plus.