Job Type
Job Details
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- Experience in Artificial Intelligence or Machine Learning.
Preferred qualifications:
- Experience with software development with one or more general programming languages (e.g., Java, C/C++, C#, Python, JavaScript, or Go).
- Experience with Large Language Models.
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.
AI and Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms and Devices.
AIRX's mission is to develop and launch AI experiences across priority Platforms and Devices initiatives. AIRX partners closely with Platforms and Devices product teams, guiding them through every step of AI integration – from ideation to deployment.
AIR On-Device Intelligence mission is to research, build, and ship technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enable the next gen Gemini-based user interaction.
- Provide direct technical guidance to a high-performing team of AI/ML software engineers, fostering a culture of collaboration and continuous learning.
- Offer expert-level technical guidance in machine learning and AI development, ensuring the team leverages the latest advancements and innovations in the field.
- Encourage an engineering culture in the team, with a relentless focus on innovation, technical aptitude, and the delivery of AI solutions that align with AIR’s goals.
- Work closely with the Mountian View-based Engagements team, fostering trust and collaboration, to maximize project efficiency and impact.
- Lead the development, training, evaluation, and deployment of AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
