Software Engineer III, GenAI Application, Core ML

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with core GenAI concepts (Large Language Model, Multi-Modal, Large Vision Models).
• Experience with text, image, video, or audio generation.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience with UI frameworks, landing features in production.
• Experience with Human-Computer Interaction (HCI) prototyping.
• Familiarity with web app development.

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.

On-device Machine Learning (ODML), especially with the rise of Generative AI, is central to Google's product portfolio. The most unique experiences on Pixel, and Android today are already powered by on device Machine Learning - Speech Recognition, Camera, and Assistant/Translation. As we embark on a future with Generative AI experiences personalized on your device, our team is building the core capabilities powering it.
Google offers low-level ODML frameworks like TensorFlow Lite and MediaPipe to run machine learning on Android, iOS, Web, and other mobile/embedded devices. It is now deployed across 4 billion+ devices, in 25000+ Android apps, powering marquee features in Android, Search, Photos, Assistant, YouTube, and more. We are investing in improving overall usability, on-device performance, and the end-to-end developer experience across all platforms!

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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.

On-device Machine Learning (ODML), especially with the rise of Generative AI, is central to Google's product portfolio. The most unique experiences on Pixel, and Android today are already powered by on device Machine Learning - Speech Recognition, Camera, and Assistant/Translation. As we embark on a future with Generative AI experiences personalized on your device, our team is building the core capabilities powering it.

Responsibilities

• Design, build, and deliver compelling new features for GenAI developer tools and applications.
• Drive novel GenAI experiences using the latest technologies, agentic, multimodality, etc, br