Google

Software Engineering Manager, Generative AI, Google Home Conversational Experiences

Google$207K — $300K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years leading ML design and optimizing ML infrastructure.
  • 3 years in a technical leadership role.
  • 2 years with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).
  • 2 years in people management or team leadership.

Responsibilities

  • Design and productize scalable generative AI architectures.
  • Lead technical strategy and execution for Gemini for Home dialog stack.
  • Optimize production systems for latency, reliability, and user experience.
  • Collaborate with researchers and product teams to fine-tune foundation models.
  • Mentor and grow a team of software engineers, promoting an engineering culture.

Benefits

  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Generous paid time off and sick leave.
  • Comprehensive wellness programs.
  • Professional development and continuous learning opportunities.
Full Job Description
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X In most instances, this position requires in-person interviews as part of the hiring process.

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).
  • 3 years of experience in a technical leadership role.
  • 2 years of experience with GenAI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
  • 2 years of experience in a people management or team leadership role.

Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • Applied research expertise with LLMs for NLP purposes.
  • Ability to effectively operate with flexibility in a fast paced, constantly evolving team environment.
  • Excellent written and verbal communication skills in English.


About the job

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

We are the Conversational Experiences team that powers the Gemini-based dialog engine for Google Home, bringing improvements and new capabilities to how users can talk to and get things done with Google Home devices and app.

We are looking for a technically manager to evolve the Gemini for Home conversational stack and experiment/productize bleeding-edge generative-AI solutions (e.g., natural language understanding, response generation, multi-modal inputs, execution, and context/memory ingestion).

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 hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.Individual pay is determined by factors including 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
  • Design and productize scalable generative AI architectures to significantly improve natural language understanding, multi-modal inputs, and context ingestion.
  • Lead the technical strategy and execution for the Gemini for Home conversational dialog stack across task-oriented and open-domain interactions.
  • Optimize production conversational systems to deliver step-function improvements in end-to-end latency, reliability, execution safety, and real-world user experience.
  • Partner closely with research scientists, product managers, and data scientists to evaluate, fine-tune, and deploy foundation models.
  • Manage, mentor, and grow an initial team of software engineers while fostering a high-velocity engineering culture.


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 .

About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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