Software Engineer, AI Innovation and Research, Engagements - Google
MOFFETT FIELD, CA 94035
About the Job
Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.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, data processing, debugging).Experience with Artificial Intelligence.Preferred qualifications:Master's degree or PhD in Computer Science or related technical field.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.Software Engineers on the Engagements team play a pivotal role in shaping how we bridge AI expertise from research to the product team
This involves working on high-priority well-defined projects and products with a clear path to launch and ensuring successful deployment of AI technologies within them
In this role, you will have the opportunity to work across many products and deliver AI-powered experiences to the world.Google's mission is to organize the world's information and make it universally accessible and useful
Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users
We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful
Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technologyThe US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations
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 Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.Work closely with team based in other countries, leveraging their Machine Learning expertise to maximize project efficiency and impact.Identify common needs across multiple engagements and build shared infrastructure and models which will serve as a common toolset and blueprints to deliver the next engagements faster.Transfer valuable AI knowledge and expertise to the product teams you engage with, empowering them for future AI-driven initiatives.
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.Software Engineers on the Engagements team play a pivotal role in shaping how we bridge AI expertise from research to the product team
This involves working on high-priority well-defined projects and products with a clear path to launch and ensuring successful deployment of AI technologies within them
In this role, you will have the opportunity to work across many products and deliver AI-powered experiences to the world.Google's mission is to organize the world's information and make it universally accessible and useful
Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users
We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful
Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technologyThe US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations
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 Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.Work closely with team based in other countries, leveraging their Machine Learning expertise to maximize project efficiency and impact.Identify common needs across multiple engagements and build shared infrastructure and models which will serve as a common toolset and blueprints to deliver the next engagements faster.Transfer valuable AI knowledge and expertise to the product teams you engage with, empowering them for future AI-driven initiatives.
Source : Google