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Engineering Manager, AI Innovation and Research

Engineering Manager, AI Innovation and Research

1 Month ago • 8-11 Years • Artificial Intelligence

About the job

7 skills required for this role

Test your skills to join the top 1% applicants for this job

java

javascript

cpp

python

budget-management

innovation

networking

Job Description

The Engineering Manager, AI Innovation and Research at Google's AI and Research Accelerator (AIRX) and On-Device Intelligence (ODI) will lead a team of AI/ML engineers. Responsibilities include recruiting, onboarding, and managing the team; providing technical guidance in machine learning and AI development; driving an innovative engineering culture; overseeing model development, training, and deployment; and collaborating with the Mountain View Engagements team. The role requires a Bachelor's degree (Master's or PhD preferred) and 8+ years of software development experience, including 3 years in technical leadership and 2 years in people management. Experience with AI/ML and large language models is essential. The manager will contribute to product strategy, project goal management, and team development across multiple international sites.

Must have:

8+ years software development experience
3+ years technical leadership
2+ years people management
AI/ML expertise
Team management and collaboration
Model development and deployment

Good to have:

Master's or PhD in Computer Science
Large Language Model experience

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.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.