Research Scientist, Generative AI

Google
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Job Description

Minimum qualifications:

  • Master's degree in Computer Science, Electrical Engineering or related technical field or equivalent practical experience.
  • Experience in one of the following: generative models., computational photography, ML, computer vision, image processing, computer graphics.

Preferred qualifications:

  • Experience in Image Processing/ Computational Photography and Generative AI or NLU areas, such as multimodal interaction and or areas of core or applied machine learning.
  • Experience in product introductions that use advanced research or related work.
  • Experience using Google AI/ML models and core ML tools.
  • Experience driving multi-stakeholder projects in cross-functional environments, especially working across teams.

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.

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.

Responsibilities

  • Design a 3-5 year research plan for applied research on Generative AI models intended to address Novel AI experience use cases.
  • Identify new and upcoming research areas by interacting with potential external and internal collaborators.
  • Author research papers to share and generate impact of research results across the team and in the research community.
  • Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
  • Partner with the Engineering team, Google Research and Product PAs to fine tune and optimize Generative and Autoregressive models used to create Novel AI experiences.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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