Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in Java or C .
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 1 year of experience in a technical leadership role.
• Experience with Machine Learning (ML) powered feature development and productization.
• Experience with mobile development or embedded systems.

About the jobGoogle'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.
Our team is dedicated to crafting a GenAI capability by fully harnessing the potential of Large Language Model (LLMs) and other foundational AI models running directly on mobile devices. Our mission is to innovate from within the Android platform and extend these benefits outward, influencing mobile experiences everywhere. Beyond Pixel, we are working with the Original Equipment Manufacturer (OEMs) across the Android ecosystem.
Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

The US base salary range for this full-time position is $166,000-$244,000 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

• Collaborate directly with Google DeepMind and CoreML to adapt and deploy the Gemini model for seamless integration into mobile user applications.
• Work on LLM fine-tuning, prompt optimization, runtime optimization to improve user experiences for mobile end-users.
• Design and build user-friendly developer-facing Application Programming Interfaces (APIs), empowering the Android developer community to create innovative and engaging AI-powered user experiences.
• Work closely with product teams to innovate and implement novel user experiences, leveraging techniques like Retrieval-Augmented Generation (RAG), traditional machine learning models, LoRAs, and targeted LLM fine-tuning.

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Requisition #: 102049660662620870

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