Director, Engineering, Google Research, Teaching Machines

Google
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Job Description

Minimum qualifications:

  • Bachelor’s degree in machine learning or equivalent practical experience.
  • 15 years of engineering and/or research experience, or 13 years with an advanced degree.
  • Experience running a multidisciplinary research organization, including as a manager-of-managers.

Preferred qualifications:

  • Experience at the intersection of machine learning and natural language understanding, or machine learning and human-computer interaction or natural language understanding and uncertainty estimation.
  • Experience in publication record in natural language understanding, machine learning, uncertainty estimation, data science, human-computer interaction, AI or related fields.
  • Experience as a mentor.
  • Experience helping sub-managers navigate promotion processes.

About the job

Language is an organization inside Google’s Research organization. While a fraction of our work is related to machine learning for Language, we are an organization with ranging interests. As the Lead for Teaching Machines, you will lead an organization consisting of multiple teams of researchers across multiple disciplines: Game Design, Natural Language Understanding, Machine Learning, Uncertainty Estimation, and Data Science. You will be responsible for developing and executing an overall strategy for this organization, creating and maintaining a culture, and growing managers and technical leads. Your mission will be to ensure both organizational success and positive impact for Teaching Machines for Language.

Responsibilities

  • Lead and manage a diverse set of cross-discipline teams.
  • Work with teams to define a research agenda and prioritize investments in key projects.
  • Help to set clear and measurable goals for teams.
  • Build a culture in which everyone can be successful and valued.

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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