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.

AI and Research Accelerator is a specialized team within the newly formed AI Innovation and Research organization. Our mission is to take the latest breakthroughs and translate them into AI/ML experiences for Google's highest-priority Platforms and Devices (P&D) initiatives.

We are a team of ML specialists dedicated to working on highly impactful projects with the potential to reach billions of users. In this role, you will architect these solutions and directly guide our product teams from concept to launch. You will be offered unparalleled visibility, giving you the opportunity to drive deeply impactful work that frequently takes center stage at major events like Google I/O and Made by Google. Come help us lead the next generation of AI-driven innovation.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $174,000-$252,000 + 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

• Forge partnerships with product teams and researchers at Deep Mind to translate AI research into tangible user experiences in flagship P&D products.

• Design and build ML models and infrastructure that serve as a foundation for multiple product teams, identifying strategic opportunities to accelerate innovation across the entire P&D ecosystem.

• Apply existing literature by conceptualizing and validating novel machine learning hypotheses. Invent new methodologies from advanced multi-agent reasoning frameworks to novel training techniques that push the boundaries of what's possible in Gen AI.

• Apply a strong research background to 'think outside the box', working on complex, unprecedented technical bottlenecks with creative, non-traditional machine learning approaches.

• Lead the end-to-end development of experimental AI features, driving rapid iteration cycles to ensure models are robust and ready to be showcased on global stages like Google I/O.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages (e.g. Python).

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Experience with Generative AI Agent.

• Experience with Large Language Models.

• Experience with research.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.

• 5 years of experience with data structures and algorithms.

• 1 year of experience in a technical leadership role.

• Experience solving complex research problems such as long-context models and multimodal (video/image) understanding, 3D modeling and diffusion models.