About the job

The Gemini on Watches team empowers people to effortlessly interact with their world through voice, using their wearable devices. Leveraging the transformative power of Large Language Models (LLMs), we create intuitive and helpful experiences that go beyond the expected. We strive to make Gemini on Watches a rock solid, first-class feature on WearOS; equivalent in importance to the touch screen and side button.

Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and build responsive, interactive watch user interfaces optimized for clear LLM response navigation across various watch models, working closely with UI/UX teams.

• Develop and maintain robust backend logic and APIs to process, adapt, and integrate LLM models with contextual services for efficient delivery to resource-constrained wearables.

• Implement multimodal and connected experiences, including accurate text-to-speech functionality for watch displays and the ability to control other connected devices directly from the watch.

• Optimize full-stack performance for fast response times, ensure strict data privacy and security practices, and actively monitor systems to troubleshoot issues and improve the user experience.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with full stack development, across back-end such as Java, Kotlin and Android development.

• 2 years of experience with API design and protocol buffers.

• Experience working on wearable devices.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• Experience integrating Text-to-Speech (TTS) services or handling audio processing within an application.

• Experience implementing and integrating Large Language Models (LLMs) or Generative AI APIs into consumer-facing applications.

• A demonstrated track record of utilizing AI tools to enhance software development workflows.