Research Scientist, Algo Spark

Google•Mountain View, CA

About The Position

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team focuses on various aspects of algorithmic improvements in privacy, security, model architectures, Artificial Intelligence reasoning, and knowledge. In this role, you will develop new algorithms covering various topics including privacy and Machine Learning. You will push for new directions in Artificial Intelligence for mathematics and theoretical research. You will take insights from research into Google products across different Product Areas. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience with Machine Learning Algorithms.
One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Nice To Haves

Knowledge of linear programming with excellent coding skills in Python.
Understanding of machine learning algorithms and research.

Responsibilities

Design and develop algorithms.
Push new directions in artificial intelligence (AI) for mathematics and theoretical research.
Take insights into Google products.
Publish high-quality research at conferences (e.g., NeurIPS, ICML, ICLR, StOC, FOCS) to maintain Google's leadership in the global scientific community.