Research Scientist, Paradigms of Intelligence

Research Scientist, Paradigms of Intelligence Google Montreal, QC, Canada; Toronto, ON, Canada; +4 more; +3 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. For Canadian applicants: This posting is for a new vacancy. Google utilizes AI tools to assist in assessing candidates in our hiring processes. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Montreal, QC, Canada; Toronto, ON, Canada; Cambridge, MA, USA; Mountain View, CA, USA; New York, NY, USA . PhD degree in Computer Science, a related field, or equivalent practical experience. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Post-doctoral experience. Experience in the field of machine learning. Experience in the training and fine-tuning of LLMs. Experience in the use of LLMs in fields of program synthesis or automated code discovery. First-authored or last-authored publications in the field of machine learning at top venues (e.g., ICLR, ICML, NeurIPS). About the job 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 conducts basic research into alternative AI paradigms beyond those currently trending. Our goal is to discover novel AI algorithms that can be efficient to run on typical or alternate computing substrates, using a mix of automated, hand-designed, and hybrid methods—specifically focusing on how advancing Large Language Model (LLM)-related techniques can accelerate this process. In this role, you will research, develop, and publish breakthroughs in both algorithm discovery methods and the resulting algorithms themselves. The Technology & Society organization connects research, people, and ideas across Google and Alphabet to help shape and advance our most ambitious technology innovations and initiatives and their impact on users and society for the better, and responsibly. In addition, we also aim to share perspectives, engage, and collaborate with others externally on technology related issues and opportunities for society. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Canada: $150000 - $153000 (CAD) + 15% bonus target + equity + benefits US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Carry out sustained exploratory research. Review literature, identify key questions, design experiments, and interpret results. Collaborate in person and remotely; maintain a respectful work environment. Share ideas verbally and in writing; publish and present work at journals or scientific conferences. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. #J-18808-Ljbffr Google Inc.