Engineering Manager, AI Innovation and Research

职缺大约 1 小时前更新

职缺描述

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
  • Experience in Artificial Intelligence or Machine Learning.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience with Large Language Model.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

AI and Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms and Devices.

AIRX's mission is to develop and launch AI experiences across priority Platforms and Devices initiatives. AIRX partners closely with Platforms and Devices product teams, guiding them through every step of AI integration – from ideation to deployment.

AIR On-Device Intelligence's mission is to research, build, and ship technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enable the next gen Gemini-based user interaction.

Responsibilities

  • Recruit, onboard, and manage a high-performing team of AI/ML software engineers, fostering a culture of collaboration and continuous learning.
  • Provide deep technical guidance and expertise in machine learning and AI development, staying abreast of the latest advancements in the field.
  • Drive an engineering culture in the team, with a relentless focus on innovation, technical aptitude, and the delivery of AI solutions that align with AIR’s goals.
  • Oversee the development, training, evaluation, and deployment of models in production environments.
  • Work closely with the Mountain View-based Engagements team, fostering trust and collaboration, to maximize project efficiency and impact.
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.
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Google’s mission is to organize the world‘s information and make it universally accessible and useful.

Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. A lot has changed since the first Google search engine appeared. But some things haven’t changed: our dedication to our users and our belief in the possibilities of the Internet itself.


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