Engineering Manager, AI Innovation and Research
- linkCopy link
- emailEmail a friend
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.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.