Senior Software Engineer, Applied Machine Learning, AICore
at Alphabet
Posted 6 hours ago
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- Compensation
- $166,000 – $244,000 USD
- City
- Mountain View
- Country
- United States
Currency: $ (USD)
Role focuses on delivering mobile AI experiences by leveraging large language models and GenAI capabilities directly on Android devices. You will collaborate with Google DeepMind and Core ML to adapt the Gemini model for production, perform LLM fine-tuning and runtime optimization, and apply techniques such as Retrieval-Augmented Generation (RAG) and LoRAs to enhance mobile apps. You will work with product teams to architect ML infrastructure and deployment pipelines within the Android ecosystem. Base US salary range is $166,000–$244,000 plus bonus, equity, and benefits.
Senior Software Engineer, Applied Machine Learning, AICore
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 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 one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
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.
Our team is dedicated to crafting a GenAI capability by fully harnessing the potential of LLMs and other foundational AI models running directly on mobile devices. AICore was launched with the Pixel 8/9, Samsung S24, S25 and Oppo, Xiaomi etc devices since 2023 and gaining significant attention alongside the Gemini Nano announcement, 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 Original Equipment Manufacturers (OEMs) across the Android ecosystem.
Responsibilities
- Collaborate directly with Google DeepMind and Core Machine Learning to adapt and deploy the Gemini model for seamless integration into mobile user applications.
- Work on Large Language Model (LLM) fine-tuning, prompt optimization, runtime optimization to improve user experiences for mobile end-users in the global market.
- 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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