Software Engineering Manager, AI/ML, Google Home Conversational Experiences
AI summary of the role
Lead the engineering team behind the Gemini-based conversational platform for Google Home, driving technical architecture and roadmap for hybrid AI systems that combine generative LLMs with deterministic components.
What you’ll do
- Drive technical architecture and roadmap for the conversational experiences platform powering Gemini for Home.
- Architect and deploy hybrid AI systems combining generative LLMs with deterministic components for quality, safety, and reliability.
- Diagnose production quality gaps, reduce end-to-end latency, and resolve issues across context ingestion, multimodal inputs, memory, and dialogue pipelines.
- Partner cross-functionally with research scientists, PMs, and data scientists to evaluate algorithms and launch features.
What you’ll bring
- 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.
- 5 years of experience with speech/audio, reinforcement learning, ML infrastructure, or another ML field.
Technologies
Gemini · LLM · generative AI · reinforcement learning · speech/audio · ML infrastructure · dialogue systems · multimodal · NLP
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
Source and classification
Deployment team leadership · Evidence for this classification:
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. We are the Conversational Experiences team that powers the Gemini-based dialog engine for Gemini for Home, bringing improvements and new capabilities to how users can talk to and get things done with Google Home devices and app. In this role, you will maintain and improve the conversational platform powering Gemini for Home. You will combine generative AI solutions with classic deterministic architectures to raise conversational quality and drive down end-to-end latency. The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and
More from the job description
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. We are the Conversational Experiences team that powers the Gemini-based dialog engine for Gemini for Home, bringing improvements and new capabilities to how users can talk to and get things done with Google Home devices and app. In this role, you will maintain and improve the conversat [... source excerpt omitted ...] ding job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Drive the technical architecture and roadmap for the conversational experiences platform powering Gemini for Home across task-oriented and open-domain dialogue systems. Architect and deploy hybrid AI systems combining generative large language models with deterministic components to maximize conversational quality, safety, and operational reliability. Diagnose production quality gaps, reduce end-to-end system latency, and resolve complex issues across context ingestion, multimodal inputs, [... source excerpt omitted ...] unch user-facing features. Lead and grow an engineering team, setting clear technical direction, guiding individual career development, and fostering a high-performance culture. Qualifications 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). 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructur
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