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Minimum qualifications:

  • 8 years of experience in multi disciplinary research, leading, and mentoring.
  • Experience in Machine Learning.

Preferred qualifications:

  • Experience in management.
  • Experience in Applied Maching Learning (e.g., TensorFlow, JAX, CUDA, etc.).
  • Ability to productionize ML algorithms and models in real-world products to solve user issues.

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 Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

Responsibilities

  • Develop collaborations with other teams at Google, including Google Research and the On-Device Machine Learning team.
  • Guide the team in both organizational and technical ways to achieve significant results for Google Photos.
  • Manage a team with minimal guidance.
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Confirmed 9 hours ago. Posted 9 hours ago.

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