Research Scientist

• Develop and apply innovative research in goals/graphics/ML to a number of applications at Google, including Computational photography, Computational videography and Content creation and transformation.
• Identify and solve creative new problems, and conduct fundamental research.
• Have a passion for photography and new visual experiences, with the theoretical and practical knowledge to perform research, and drive to help land their work in products.

Minimum qualifications:

• PhD in Computer Science, Electrical Engineering or related technical fields, with a focus on one of the following: generative models, computational photography, ML, computer vision , image processing, computer graphics , or equivalent practical experience.
• 2 years of experience in computer vision and machine learning, or research achievements in the field of computational photography (e.g., product ownership, publications).
• 2 years of experience leading a research agenda.
• Experience in Python programming.
• Publications at Machine Learning (ML), vision or graphics conferences, such as NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV or SIGGRAPH.

Preferred qualifications:

• Experience in machine learning, neural nets.
• Experience with Computer Vision or Graphics.
• Ability to work in a changing, collaborative environment with excellent communication skills.
• Excellent programming skills in Python and C/C++.

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.

The Creative Camera team mission is to imagine and build the future of photography and videography. Our team is reinventing digital imagery like from new algorithms for creating the quality images and videos on mobile devices, to creating new ways of capturing and reliving the experiences.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

• PhD in Computer Science, Electrical Engineering or related technical fields, with a focus on one of the following: generative models, computational photography, ML, computer vision , image processing, computer graphics , or equivalent practical experience.
• 2 years of experience in computer vision and machine learning, or research achievements in the field of computational photography (e.g., product ownership, publications).
• 2 years of experience leading a research agenda.
• Experience in Python programming.
• Publications at Machine Learning (ML), vision or graphics conferences, such as NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV or SIGGRAPH.