Research Science: Internship opportunities

## About the role - Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications. - Implement prototypes of scalable systems in AI applications. - Collaborate closely with team members on developing systems from prototyping to production level. - Develop solutions for real world, large-scale problems. - Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects. ## Requirements - Currently pursuing a Bachelor/Master/PhD Degree in a relevant field. - Must have at least one additional quarter/semester of school remaining following the completion of the internship. - Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB or Python, ideally languages such as pyTorch, Tensorflow and other deep learning toolkits. - Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc. - Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy or other relevant research focuses.