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++.

• 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.
  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form