Job Description

Minimum qualifications: PhD in Computer Science, a related field, or equivalent practical experience. 4 years of experience with research agendas across multiple teams or projects. One or more scientific publication submission(s) for conferences, journals, or public repositories. Preferred qualifications: Experience leading and mentoring junior researchers. Experience developing with Large Language Models. Proficiency in Python and one machine learning platform. Track record of publication in venues of original research in machine translation or closely related fields, or equivalent unpublished research with proven impact on product development. 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. Machine Translation is foundational to Google\'s mission of making information universally accessible and useful. The Google Translate team provides machine translation for nearly all of Google\'s services and users, covering 134 languages and serving translations daily. Translate\'s research team studies the most important open questions in the field of machine translation that are relevant to Google products. The team\'s results are regularly published in venues around the world. Through close collaboration with Translate\'s product and platform teams, research work has rapid impact on Google Translate and on all of Google\'s products. For United States applicants: The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Author research papers to share and generate impact of research results across organizations and in the research community. Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels. Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed. Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research. Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

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