QualificationsDeep learningComputer networkingComputer visionResearchBachelor’s degree
Bachelor’s degree in Computer Science, a similar technical field of study, or equivalent practical experience.
15 years of professional experience or 13 years with an advanced degree.
Experience in Deep Learning and Deep Neural Network (DNN) Modeling.
Computer vision research and/or applications experience.
20 years of professional experience.
Self-driving car research and/or applications experience.
Audio and video modeling research and/or applications experience.
Experience leading technical teams.
About the job
As Principal Engineer, Multimodal Research, you will provide vision and technical leadership in the multimodal research domain and apply such research to different Google product domains. You will need balance direct, deep, concrete technical insight and vision with project leadership, both locally and at Google scale. You will drive a mission of advancement in multimodal research and transform our products with such research.
Create the vision, roadmap, and execution for multimodal research.
Work cross-functionally with key stakeholders on the product application.
Provide technical leadership and expertise.
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.