AI Foundations - Research Scientist

As a Research Scientist in Artificial Intelligence, you will lead cutting-edge projects in various AI and machine learning areas, creating and leveraging AI techniques to solve analytical problems using rigorous and quantitative approaches. You will also communicate your research in technical communities through publications in top-tier conferences and journals.

Your primary responsibilities will include:

• Lead AI Projects: Lead projects in deep learning, reinforcement learning, lifelong learning, and other AI/ML areas, creating and applying AI techniques to solve complex analytical problems.
• Develop and Prove Algorithms: Develop and prove mathematical properties of algorithms, conducting successful experiments to demonstrate these properties and evaluating their impact on user experiences.
• Embed Research in Systems: Embed research algorithms in usable systems, ensuring seamless integration and effective application of AI techniques.
• Communicate Research: Communicate research findings through publications in top-tier conferences and journals, such as NIPS, CVPR, ICML, and ICLR.
• Leverage AI Frameworks: Utilize frameworks like Tensorflow, Caffe, PyTorch, or Theano to develop and implement AI solutions.