> Markdown version of [/jobs/ext/2704455-software-engineer-android-ai](https://www.wearedevelopers.com/jobs/ext/2704455-software-engineer-android-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Android AI - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Salary:** $147,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computer Vision, Data Structures, Software Debugging, Distributed Systems, Design of User Interfaces, Push Technology, Information Retrieval, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Software Engineering, Systems Architecture, Data Processing, Data Storage Technologies, Large Language Models, Model Validation, Kotlin, Information Technology, Search Engines, Machine Learning Operations, Virtual Agents, Data Pipelines, Programming Languages - **Published:** September 4, 2026 - **Apply:** https://dejobs.org/x/x/55C8F73366394428938C2783534727ED/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience. * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. * 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). * Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision)., * Master's degree or PhD in Computer Science or a related technical field. * 2 years of experience with data structures and algorithms. * 2 years of experience in applied machine learning or machine learning research. * Experience in Natural Language Processing, Large Language Models, and Computer Vision. * Proficiency in one of the following programming languages: Python, Kotlin, or Java. ## Description Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward., * Design, build, and optimize the end-to-end machine learning systems and models that power android's next-generation AI agent. Translate ambiguous user needs and product goals for agentic AI into well-defined technical problems and Machine Learning (ML) solutions. * Architect and implement data pipelines for collecting, cleaning, and processing the massive datasets required for training and fine-tuning ML models. * Lead core machine learning model development and optimization, prioritizing on-device performance and user privacy. Establish evaluation frameworks to ensure AI features are reliable, helpful, and personalized. * Collaborate closely with engineers, researchers, and product managers to integrate ML models and agentic capabilities into the Android ecosystem. * Stay at the forefront of advancements in Large Language Models, AI agents, and on-device machine learning, and advocate the adoption of new techniques to solve issues. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) ## Related Articles - [Got AI ideas but no money? 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