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Salary
≈ $168k – $290k per year (Estimated)
Location
In office (Mountain View)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 11, 2026. Google DeepMind scores B on the Alion truth index.

Overview
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Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.

About the job

The GeminiApp organization is building a universal assistant. One that is capable of helping people, enabling them to do new things. It is designed to empower users, understanding their goals and unique context, and working in the background using tools, involving users only when necessary. It will minimize distractions, reduce anxiety, and be available across multiple devices.

Within the GeminiApp organization, the Gemini Android and Chrome Integrations team is focused on making the Gemini experience ambient across all surfaces. By embedding Gemini into the Android OS, and the Chrome platform, we are able to meet users where they are, allowing to apply Gemini assistant. This work aims to make Gemini an intelligence that flows alongside the user-shrinking for a glance, expanding for depth, and holding context through user interactions.

In this role, you will work on a team focused on solving user problems with AI solutions. You will navigate ambiguity to define and build consumer-facing products and features, working across the stack in Android, iOS, Web, or backend services. We are looking for software engineers to design and implement frontend experiences and well-designed, scalable backend services. This role requires cross-functional collaboration both internally and across Google Product Areas (PAs), with an emphasis on Android and Chrome partnerships.Artificial intelligence will be one of humanity’s most transformative inventions. At Google 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design, build, and deploy high-quality consumer product features across web, mobile (Android/iOS), or backend services.
  • Collaborate cross-functionally with product, design, and research teams to translate ambiguous requirements into concrete technical solutions.
  • Develop simple, reusable, and scalable code libraries and frameworks to accelerate product development.
  • Iterate on product prototypes and features, balancing development velocity with a high standard of code quality and craft.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
  • 5 years of experience with software development in one or more of the following: Web (JavaScript/TypeScript, React), iOS (Swift, Objective-C), Android (Kotlin, Java), backend or ML services.
  • Experience building and shipping consumer-facing software products.

Preferred qualifications:

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