Engineering Manager, AI Innovation and Research
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Experience in machine learning, deep learning, and AI development, along with experience building and deploying production-level models.
- Experience in working with distributed teams across multiple time zones, fostering strong communication, collaboration, and a sense of shared purpose even in a remote work environment.
- Experience in working with distributed teams across multiple time zones, promoting communication, collaboration, and a sense of shared purpose even in a remote work environment.
- Ability to promote a culture of collaboration, growth, and innovation.
- Ability to build relationships globally, ensuring collaboration between local and US-based teams to deliver AI-driven solutions.
About the job
Like Google's own ambitions, the work of a Software Engineer goes way 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 Innovation and Research is a team focused on accelerating AI innovation and redefining how users interact with computing. We build the foundational technology that powers seamless, intelligent, and proactive user experiences across Platforms and Devices (P&D). The Aura program is our primary vehicle for achieving this mission by building AI capabilities and core building blocks for on-device and ambient technologies.
Data and Evals Team Build a data ecosystem and comprehensive evaluation framework to support high-quality, fair, and reliable AI systems, while ensuring user privacy and trust. Drive evaluations across all P&D use cases and standard upstreaming processes to Gemini models.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Responsibilities
- Work on Data and Evaluation related areas that are foundational for Aura. Build ML driven evaluations for AI systems (on-device, server based, private compute and Hybrid) and critical user journeys, designed to be adaptable across various applications across P&D.
- Build infrastructure and tooling needed to support evaluations across P&D and drive visibility on performance at an executive level.
- Build ML-based Auto raters for easy creation, execution scaling and evaluation.
- Improve the scope and quality of datasets and Upstream new datasets and evaluations to Gemini OneRecipe. Leverage Software Engineering Agents to create agentic flows that automate evaluation creation.
- Grow and manage a high performance team and be responsible for their growth.
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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.
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