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Job Details
Posted date: Nov 13, 2024
There have been 2 jobs posted with the title of Research Scientist, Visual Language and Multimodal Modeling, Pixel all time at Google.Location: Seattle, WA
Level: Senior
Estimated salary: $168,000
Range: $136,000 - $200,000
Description
Author research papers to share and generate impact of research results across the team and in the research community.Help grow research business across teams by sharing research trends and best practices within the community.
Define the data structure, framework, design, and evaluation metrics for research solution development and implementation, and identify timelines and obtain resources needed.
Identify new and upcoming research areas by interacting with potential external and internal collaborators, help develop long-term research strategy and plans.
Contribute to conducting experiments based on the research question, develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology.
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.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
The US base salary range for this full-time position is $136,000-$200,000 + 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 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 benefits at Google.
Qualifications
Minimum qualifications: PhD degree in Computer Science, a related field, or equivalent practical experience.One or more scientific publication submissions for conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR), journals, or public repositories.
Preferred qualifications: 2 years of experience with software engineering (e.g., C++, Python, data processing, production back-end development, etc.).
1 year of experience owning and initiating research agendas.
Experience with TensorFlow, Flume, computer vision libraries/frameworks, and Android.
Experience in areas like face anti-spoofing, bio-metrics, 3D/2.5D vision, facial landmark/pose estimation.
Extended Qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience.One or more scientific publication submissions for conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR), journals, or public repositories.
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