applinity

iOS Staff Software Engineer, Gemini Live, DeepMind

at Google

Location

New York, NY, USA; Mountain View, CA, USA

Compensation

$207k–$300k USD

Type

full time

Posted

1 weeks ago

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Job description

Gemini Live will be the go-to, top of mind multi-modal AI assistant destination for users who want to ask or show something to their AI assistant. We are building daily habits by delivering the sounding board, truly helping users who seek advice about family, school, or work. We are enabling Live to give lightning fast responses for simple information seeking questions. Gemini Live will take learning experiences to a new level, by talking through your learning journey step-by-step with multi-modal shows and telling visuals to help with guided learning. We are building out productivity experiences so Gemini Live can be an indispensable part of managing your day-to-day life.

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, 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 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 $207,000-$300,000 + 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

  • Define and drive the front-end architecture to integrate Gemini Live as the most intelligent, natural, and indispensable real-time conversational assistant, unifying the voice product across App and Devices.
  • Engineer an intuitive, discoverable multi-modal experience that ensures context and personalization are carried over seamlessly between chat and voice interactions, utilizing relevant visuals to enhance the experience.
  • Drive the technical development of the non-verbal communication system to ensure low-latency performance to make the AI feel truly responsive and natural.
  • Partner with GenAI and Model teams to integrate advanced model capabilities and establish necessary client-side instrumentation and quality rubrics to measure and maintain the naturalness and responsiveness of the Gemini Live experience.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.

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 involving cross-functional, or cross-business projects.
  • Experience in partnering with non-frontend teams (e.g., GenAI, Model, UX/Research) to integrate capabilities and translate complex requirements into working, user-facing features.
  • Experience establishing instrumentation, quality rubrics, and debugging tools to measure and maintain the overall quality of the user experience.
  • Ability to define and drive the technical front-end architectural goal for complex systems, ensuring the design is scalable, performant, and aligned with the product's North Star.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.