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Google AI
AI.Google is a website that provides valuable insights and information about Google's AI initiatives. It showcases the company's commitment to advancing artificial intelligence and machine learning technologies. The website highlights Google's mission of making AI accessible to everyone through innovative research, collaborations, and open-source projects. It offers a range of resources including research papers, tools, and datasets to support the development and understanding of AI. AI.Google is a platform for researchers, developers, and AI enthusiasts to explore cutting-edge AI technologies and stay up-to-date with the latest advancements from Google's AI research teams.
The first layer, called the input layer, can detect very basic features like the edges of objects.sciencealert.comEach of Google's AI networks is made of a hierarchy of layers, usually about "10 to 30 stacked layers of artificial neurons".
… … » … » … » AI IS PRETTY STUPID: Google AI flagged parents’ accounts for potential abuse over nude photos of their sick kids. The doctor wound up prescribing antibiotics that cured the infection. …instapundit.comA Google spokesperson told the Times that Google only scans users’ personal images when a user takes “affirmative action,” which can apparently include backing their pictures up to Google Photos.
Through this Google is accurately classifying these images and it is providing highly accurate search results.askthecandidates2012.comHere AI is behind image recognition where it works on millions of uploaded images all over the internet. These are the images for which Google indexes.
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EncryptedSite is Encrypted
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CountryHosted in Mexico
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CityBellevue, Nebraska
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Latitude\Longitude41.1156 / -95.9375 Google Map
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Traffic rank#16,331 Site Rank
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Site age7 yrs old
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Site Owner informationWhois info
Website is Safe
Site is not blacklisted
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Founded2017
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OwnerGoogle
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IndustryArtificial intelligence
Traffic rank
#16,331
#16,331
Site age
7 yrs
7 yrs
Location
Mexico
Mexico
Popular Questions for Google AI
Newest job postings for Google AI
via Getwork
posted_at: 5 days agoschedule_type: Full-time
Minimum qualifications:
• Bachelor's degree in Computer Science or equivalent practical experience.
• 5 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role...
• Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Experience with AI products, technologies, and infrastructure.
Preferred
Minimum qualifications:
• Bachelor's degree in Computer Science or equivalent practical experience.
• 5 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role...
• Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
• Master's degree in Computer Science or a related technical field.
• Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
• Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
• Understanding of responsible AI practice.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Generative AI Specialist, you will work with Product Development and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to our customers and Partners.
In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud's Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
For United States Applicants:
The US base salary range for this full-time position is $154,000-$236,000 + 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 for new hire 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
• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide in-depth AI expertise to support the technical relationship with Google's customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Support developers, creators, and enterprises to leverage Google's Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed Show more details...
• Bachelor's degree in Computer Science or equivalent practical experience.
• 5 years of experience serving in the capacity of a technical Solution Architect in a cloud computing environment or a customer-facing role...
• Experience with Large Language Models (LLMs), Open Source, Big Data, Machine Learning, and numerical programming frameworks.
• Experience with AI products, technologies, and infrastructure.
Preferred qualifications:
• Master's degree in Computer Science or a related technical field.
• Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
• Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
• Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
• Understanding of responsible AI practice.
• Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Generative AI Specialist, you will work with Product Development and Technical Sales teams as an Generative Artificial Intelligence (AI) subject matter expert to bring Google Cloud AI products to our customers and Partners.
In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud's Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
For United States Applicants:
The US base salary range for this full-time position is $154,000-$236,000 + 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 for new hire 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
• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Provide in-depth AI expertise to support the technical relationship with Google's customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
• Support developers, creators, and enterprises to leverage Google's Generative Language APIs so they can build their own AI products in the future.
• Travel to customer sites, conferences, and other related events as needed Show more details...
via Adzuna
posted_at: 3 days agoschedule_type: Full-time
Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience managing a technical team in a cloud computing environment, or a similar customer-facing role...
• Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.
Preferred qualifications:
• Experience in and understanding
Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience managing a technical team in a cloud computing environment, or a similar customer-facing role...
• Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.
Preferred qualifications:
• Experience in and understanding of data and information management - especially as it relates to big data trends and issues within businesses.
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in understanding a complex customer's existing software workloads and the ability to define a technical migration roadmap to the Cloud reflecting specific customer needs.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
For United States Applicants:
The US base salary range for this full-time position is $154,000-$236,000 + 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 for new hire 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
• Collaborate with Sales and Customer Engineering (CE) management to determine proper staffing levels to support business goals, establish job requisitions, and lead interview team to fill open positions.
• Organize, train, and equip the CE Team. Assess CE team's go-to-market readiness, identify gaps in CE preparedness, and build plans to ensure the CE team is properly trained and equipped to successfully perform in support of annualized business goals.
• Work with Google Cloud Sales team leadership to identify, qualify, and prioritize coverage for business opportunities. Participate in periodic opportunity review meetings providing insights to secure technical success.
• Work with the Sales Account team, customer support, product management, customer solutions, and engineering to resolve product problems affecting pre and post-sales customer satisfaction.
• Travel up to 30% of the time Show more details...
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 2 years of experience managing a technical team in a cloud computing environment, or a similar customer-facing role...
• Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.
Preferred qualifications:
• Experience in and understanding of data and information management - especially as it relates to big data trends and issues within businesses.
• Experience architecting and developing software or infrastructure for scalable, distributed systems.
• Experience in understanding a complex customer's existing software workloads and the ability to define a technical migration roadmap to the Cloud reflecting specific customer needs.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
Google Cloud accelerates organizations' ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology - all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
For United States Applicants:
The US base salary range for this full-time position is $154,000-$236,000 + 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 for new hire 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
• Collaborate with Sales and Customer Engineering (CE) management to determine proper staffing levels to support business goals, establish job requisitions, and lead interview team to fill open positions.
• Organize, train, and equip the CE Team. Assess CE team's go-to-market readiness, identify gaps in CE preparedness, and build plans to ensure the CE team is properly trained and equipped to successfully perform in support of annualized business goals.
• Work with Google Cloud Sales team leadership to identify, qualify, and prioritize coverage for business opportunities. Participate in periodic opportunity review meetings providing insights to secure technical success.
• Work with the Sales Account team, customer support, product management, customer solutions, and engineering to resolve product problems affecting pre and post-sales customer satisfaction.
• Travel up to 30% of the time Show more details...
via Recruit.net
posted_at: 4 days agoschedule_type: Full-time
This role may also be located in our Playa Vista, CA campus.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Boulder, CO, USA; Nashville, TN, USA; Chandler, AZ, USA; Reston, VA, USA; Durham, NC, USA...
Remote location(s): Arizona, USA; California, USA; Colorado, USA; District of Columbia,
This role may also be located in our Playa Vista, CA campus.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Boulder, CO, USA; Nashville, TN, USA; Chandler, AZ, USA; Reston, VA, USA; Durham, NC, USA...
Remote location(s): Arizona, USA; California, USA; Colorado, USA; District of Columbia, USA; Florida, USA; Georgia, USA; Illinois, USA; Massachusetts, USA; Michigan, USA; Minnesota, USA; Missouri, USA; North Carolina, USA; New Jersey, USA; Nevada, USA; New York, USA; Ohio, USA; Oregon, USA; Pennsylvania, USA; Tennessee, USA; Texas, USA; Utah, USA; Virginia, USA; Washington, USA; Wisconsin, USA. Qualifications
Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
• 5 years of experience with cloud infrastructure
• Experience building and operationalizing machine learning models
• Experience in delivering technical presentations while leading detailed discovery and planning sessions that are aligned jointly with the customer with defined scope and success criteria
Preferred qualifications:
• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators
• Experience with running MLPerf benchmarks
• Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard)
• Experience with distributed training and optimizing performance versus costs
• Designing/architecting large scale infrastructure farms for specialist AI use cases
• Ability to engage with C-level or senior business leaders and influence decisions
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
In this role, you will identify and assess large scale AI opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you would work closely with internal Cloud AI teams to remove roadblocks and shape the future offerings
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Salary Range Info: The US base salary range for this full-time position is $130,000-$194,000 + 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 for new hire 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 .
Responsibilities
• Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench-marking
• Build repeatable assets to enable other customers and internal teams
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements
• Travel to customer sites and events as needed Show more details...
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:
In-office locations: Boulder, CO, USA; Nashville, TN, USA; Chandler, AZ, USA; Reston, VA, USA; Durham, NC, USA...
Remote location(s): Arizona, USA; California, USA; Colorado, USA; District of Columbia, USA; Florida, USA; Georgia, USA; Illinois, USA; Massachusetts, USA; Michigan, USA; Minnesota, USA; Missouri, USA; North Carolina, USA; New Jersey, USA; Nevada, USA; New York, USA; Ohio, USA; Oregon, USA; Pennsylvania, USA; Tennessee, USA; Texas, USA; Utah, USA; Virginia, USA; Washington, USA; Wisconsin, USA. Qualifications
Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience
• 5 years of experience with cloud infrastructure
• Experience building and operationalizing machine learning models
• Experience in delivering technical presentations while leading detailed discovery and planning sessions that are aligned jointly with the customer with defined scope and success criteria
Preferred qualifications:
• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators
• Experience with running MLPerf benchmarks
• Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard)
• Experience with distributed training and optimizing performance versus costs
• Designing/architecting large scale infrastructure farms for specialist AI use cases
• Ability to engage with C-level or senior business leaders and influence decisions
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
In this role, you will identify and assess large scale AI opportunities that would benefit from AI optimized infrastructure. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you would work closely with internal Cloud AI teams to remove roadblocks and shape the future offerings
Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Salary Range Info: The US base salary range for this full-time position is $130,000-$194,000 + 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 for new hire 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 .
Responsibilities
• Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench-marking
• Build repeatable assets to enable other customers and internal teams
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements
• Travel to customer sites and events as needed Show more details...
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