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Most recent job postings at 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...
via Jooble
posted_at: 11 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: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Nashville, TN, USA; Chandler, AZ, USA; Addison, TX, USA; Dallas, TX, USA; Houston, TX,
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: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Nashville, TN, USA; Chandler, AZ, USA; Addison, TX, USA; Dallas, TX, USA; Houston, TX, USA; Irvine, CA, USA; Kansas City, MO, USA; Kirkland, WA, USA; Miami, FL, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Seattle, WA, USA; San Diego, CA, USA; Salt Lake City, UT, USA; Washington D.C., DC, USA; Raleigh, NC, USA; Durham, NC, USA; Cambridge, MA, USA.
Remote location(s): United States.Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 3 years of experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
• Experience in delivering technical presentations.
Preferred qualifications:
• Experience with contact center technologies and platforms and building conversational applications.
• Experience with Document and Image AI.
• Experience with Build and Use AI (ML templates, deep learning, custom ML).
• Experience in coding, using either Java, C++, or Python
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 an Enterprise Customer Engineer, you will contribute experience and thought leadership to support Google Cloud Sales teams and drive vision, mission, and strategy around cloud AI/ML solutions that aid in a customer’s migration and transformation to Google Cloud. You'll meet with customers to facilitate business transformation, success patterns, and establish an architectural blueprint as the foundation for migration to Google Cloud.
In this role, you will focus on Conversational AI and Contact Center applications. You will also enable customers, partners, and field teams on the best way to position AI/ML solutions on Google Cloud, explain technical features, and problem-solve potential roadblocks.
You will also travel to customer sites and events up to 40% of the time.
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.
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 benefits at Google .
Responsibilities
• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirements and needs.
• Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance and innovate for our enterprise customers.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form 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: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Nashville, TN, USA; Chandler, AZ, USA; Addison, TX, USA; Dallas, TX, USA; Houston, TX, USA; Irvine, CA, USA; Kansas City, MO, USA; Kirkland, WA, USA; Miami, FL, USA; Madison, WI, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Pittsburgh, PA, USA; Los Angeles, CA, USA; San Francisco, CA, USA; Seattle, WA, USA; San Diego, CA, USA; Salt Lake City, UT, USA; Washington D.C., DC, USA; Raleigh, NC, USA; Durham, NC, USA; Cambridge, MA, USA.
Remote location(s): United States.Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 3 years of experience building or leveraging machine learning solutions and developing applications utilizing AI frameworks and methods.
• Experience in delivering technical presentations.
Preferred qualifications:
• Experience with contact center technologies and platforms and building conversational applications.
• Experience with Document and Image AI.
• Experience with Build and Use AI (ML templates, deep learning, custom ML).
• Experience in coding, using either Java, C++, or Python
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 an Enterprise Customer Engineer, you will contribute experience and thought leadership to support Google Cloud Sales teams and drive vision, mission, and strategy around cloud AI/ML solutions that aid in a customer’s migration and transformation to Google Cloud. You'll meet with customers to facilitate business transformation, success patterns, and establish an architectural blueprint as the foundation for migration to Google Cloud.
In this role, you will focus on Conversational AI and Contact Center applications. You will also enable customers, partners, and field teams on the best way to position AI/ML solutions on Google Cloud, explain technical features, and problem-solve potential roadblocks.
You will also travel to customer sites and events up to 40% of the time.
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.
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 benefits at Google .
Responsibilities
• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
• Influence the strategy for Google Cloud AI/ML by advocating for enterprise customer requirements and needs.
• Demonstrate the business value of Google Cloud AI/ML solutions that meet, enhance and innovate for our enterprise customers.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form Show more details...
via Dice
posted_at: 23 days agoschedule_type: Full-time
Job role Google Cloud Vertex AI and Auto ML Admin Support Lead
Client location: Parsippany, NJ. Need local in NJ. Hybrid model. No full Remote at all
...
Job Description:
• At least 5 yrs experienced Data Science developer with Machine Learning Experience to provide support of Machine Learning work streams hosted in the Google Cloud Platform.
• Should be able to manage incidents, coordinate with internal team, Google support team, implement process
Job role Google Cloud Vertex AI and Auto ML Admin Support Lead
Client location: Parsippany, NJ. Need local in NJ. Hybrid model. No full Remote at all
...
Job Description:
• At least 5 yrs experienced Data Science developer with Machine Learning Experience to provide support of Machine Learning work streams hosted in the Google Cloud Platform.
• Should be able to manage incidents, coordinate with internal team, Google support team, implement process improvement
• Excellent communication skills, Excellent writing skills
• Strong SQL expertise, writing complex queries
• Must be familiar with Agile processes and ceremonies
• Troubleshooting skills and providing off hours support are required
Skill/Experience/Education
• Mandatory Skills - Google Cloud Platform, Vertex AI, Kubeflow, Machine Learning, TensorFlow, Terraform, Python Scripting, Stack Driver, Logging, Linux OS,(bash & terminal)
• Desired Skills - Google Cloud Platform & Machine Learning Pipeline experience Show more details...
Client location: Parsippany, NJ. Need local in NJ. Hybrid model. No full Remote at all
...
Job Description:
• At least 5 yrs experienced Data Science developer with Machine Learning Experience to provide support of Machine Learning work streams hosted in the Google Cloud Platform.
• Should be able to manage incidents, coordinate with internal team, Google support team, implement process improvement
• Excellent communication skills, Excellent writing skills
• Strong SQL expertise, writing complex queries
• Must be familiar with Agile processes and ceremonies
• Troubleshooting skills and providing off hours support are required
Skill/Experience/Education
• Mandatory Skills - Google Cloud Platform, Vertex AI, Kubeflow, Machine Learning, TensorFlow, Terraform, Python Scripting, Stack Driver, Logging, Linux OS,(bash & terminal)
• Desired Skills - Google Cloud Platform & Machine Learning Pipeline experience Show more details...
via BeBee
posted_at: 6 days agoschedule_type: Full-time
Overview
Empower AI is AI for government
...
Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation.
Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions.
Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that
Overview
Empower AI is AI for government
...
Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation.
Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions.
Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have.
The result is a government workforce that is exponentially more creative and productive. For more information, visit
Empower AI is proud to be recognized as a 2022 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.
Responsibilities
SUMMARY
DIGIT is seeking a Google Workspace Administrator with SMTP experience to support GSA's collaboration platform with a focus on Google Workspace based technologies and interfaces.
As a leading provider of advanced information technology solutions and professional services to U.S.
federal government agencies, is the prime for a $807m task order in support of the General Services Administration (GSA) Office of Digital Infrastructure Technologies (IDT) DIGIT (Digital Innovation for GSA Infrastructure Technologies) task order driving digital transformation and delivering continuous improvement and business value to its customers.
The team is comprised of the best-in-class technology partners to leverage forward-leaning technologies and best practices to transform GSA's IT capabilities and shift offerings to provide a more flexible service delivery model, completing the agency's shift to a fully digital experience along with its adoption of advanced, emerging technologies such as intelligent automation, artificial intelligence, and machine learning.
Qualifications
RESPONSIBILITIES
This position shall perform the following (to include but not limited to) activities:
Oversee Google Workspace management, including GMail, Calendar, Group, Shared Mailboxes, Google Sites, and associated policy and account management.
Manage and monitor sync tools and schedules to ensure proper logging, email alerts, and reports for all activities :
Oversee eDiscovery / Litigation Holds
Escalate issues to vendor and third-party entities, as necessary and directed by the Government.
Leads consulting services to members of professional staff and to the customer in the analysis and design data processing systems, management systems, scientific systems, and other related areas
Makes technical decisions on kinds of data to be gathered and methods to be used in data collection and analysis
Leads technical direction, guidance, and assistance to assigned projects, suggesting efficient approaches and methods for solving problems
Provides technical leadership for the integration or requirements, design and technology
Manages and ensures the technical integrity of the system baseline over time, continually updating it as various changes are imposed on the system during the lifecycle from development through deployment and operations and maintenance
In conjunction with system stakeholders, plans the verification efforts of new and unproven designs early in the development lifecycle to ensure compliance to established requirements
Supports the planning and test analysis of the DoD Certification/Accreditation Process (as well as other Government Certification and Accreditation (C&A) processes)
Develops analytical and computational techniques and methodology for problem solution
Prepares and presents written and oral reports
Prepares and presents proposals, or portions thereof, primarily in field of specialty
Analyzes diagnoses, and recommends solutions to complex systems problems
Serves as lead analyst for research project
Develops advanced concepts of automation and information processing, display, control, and transfer for various subsystems
Conducts research and analysis of algorithms and defines data structures that lead to highly efficient system design parameters
Ultimately responsible for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility
Escalate issues to vendor and third-party entities, as necessary and directed by the Government.
CONTRACT REQUIRED QUALIFICATIONS
This following are REQUIRED for this position:
REQUIRED Professional Google Workspace Administrator Certification.
Public Trust Clearance and ITILv4 Foundation Certification by start date.
Advanced knowledge of enterprise email systems and SMTP servers and clients. Experience supporting and troubleshooting Google SMTP services, DMARC, encryption, routing, Anti-Spam/Virus, and delivery issues.
Interactions involve client negotiations and interfacing with senior management.
Decision-making and domain knowledge may have a critical impact on overall project implementation.
Possesses and applies expertise on multiple complex work assignments.
Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks.
Operates with appreciable latitude in developing methodology and presenting solutions to problems.
May supervise lower level staff if required
Proven ability to work independently in a full and/or partial remote environment with limited supervision and may supervise/lead others.
Possess the ability to communicate in both oral and written forms, demonstrating an ability to communicate effectively with all levels of staff as well as clients.
Maintain standard working hours per the DIGIT contract and to be available for meetings, and other collaborative efforts during working hours.
Demonstrated ability to apply comprehensive knowledge across key tasks and high impact assignments with the ability to use practical experience and training to determine how to accomplish tasks.
CONTRACT DESIRED QUALIFICATIONS
The following are DESIRED for this position:
Possess basic networking concept knowledge including, but not limited to, DNS, network topologies, firewalls, and proxies
Possess an understanding of mail routing concepts (SPF, MX records, DKIM, DMARC)
Scripting experience working with the Google Workspace API and command-line tools
Experience using ServiceNow for ticket management and inventory management.
Experience supporting industry standard software products
Must be willing to work a variety of shifts, including holidays as scheduled
Shall possess the ability to communicate in both oral and written forms, demonstrating an ability to communicate effectively with all levels of staff as well as clients.
Self-motivated, detail oriented, positive in approach, professional.
Strong aptitude for an independent working environment and high productivity rate.
Excellent communication and customer relationship skills.
Good analytical, interpersonal, and communication skills.
Ability to adapt to changing priorities and quickly learn new skills and techniques.
Proficiency in the Google Suite (Gmail, Calendar, Chat, Meet, Docs, Slides, Sheets), Microsoft Office (Word, Excel, PowerPoint, Outlook), Slack, and ServiceNow.
EDUCATION AND EXPERIENCE
The following are the education and experience required for this position:
10-15 years of experience and bachelor's degree
Experience as a remote worker demonstrating time management and self discipline with cultural change management and Agile mindset.
PHYSICAL REQUIREMENTSThe physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to do the following:
If remote, maintain home workspace in a safe manner, free from safety hazards and in line with information security policies.
Communicate verbally in person, over the phone or by video chat and clearly/succinctly in writing, primarily utilizing a keyboard.
Appear on camera for meetings with co-workers and government partners via video chat and ensure the protection of proprietary company and customer information is consistent with the company's expectation of information security.
Viewing computer screens and sitting for long periods of time.
Travel minimally (0-5%), via car or plane, which requires ability to manage luggage, laptop, and briefing materials (up to 25 pounds).
About Empower AI
It is the policy of Empower AI to provide equal opportunity in recruiting, hiring, training, and promoting individuals in all job categories without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other protected class or category as may be defined by federal, state, or local laws or regulations.
In addition, we affirm that all compensation, benefits, company-sponsored training, educational assistance, social, and recreational programs are administered without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, or gender identity.
It is our firm intent to support equal employment opportunity and affirmative action in keeping with applicable federal, state, and local laws and regulations.
Empower AI is a VEVRAA Federal Contractor Show more details...
Empower AI is AI for government
...
Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation.
Headquartered in Reston, Va., Empower AI leverages three decades of experience solving complex challenges in Health, Defense, and Civilian missions.
Our proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, how they work, with the resources they have.
The result is a government workforce that is exponentially more creative and productive. For more information, visit
Empower AI is proud to be recognized as a 2022 Military Friendly Employer by Viqtory, the publisher of G.I. Jobs. This designation reflects the company's commitment to hiring and supporting active-duty and veteran employees.
Responsibilities
SUMMARY
DIGIT is seeking a Google Workspace Administrator with SMTP experience to support GSA's collaboration platform with a focus on Google Workspace based technologies and interfaces.
As a leading provider of advanced information technology solutions and professional services to U.S.
federal government agencies, is the prime for a $807m task order in support of the General Services Administration (GSA) Office of Digital Infrastructure Technologies (IDT) DIGIT (Digital Innovation for GSA Infrastructure Technologies) task order driving digital transformation and delivering continuous improvement and business value to its customers.
The team is comprised of the best-in-class technology partners to leverage forward-leaning technologies and best practices to transform GSA's IT capabilities and shift offerings to provide a more flexible service delivery model, completing the agency's shift to a fully digital experience along with its adoption of advanced, emerging technologies such as intelligent automation, artificial intelligence, and machine learning.
Qualifications
RESPONSIBILITIES
This position shall perform the following (to include but not limited to) activities:
Oversee Google Workspace management, including GMail, Calendar, Group, Shared Mailboxes, Google Sites, and associated policy and account management.
Manage and monitor sync tools and schedules to ensure proper logging, email alerts, and reports for all activities :
Oversee eDiscovery / Litigation Holds
Escalate issues to vendor and third-party entities, as necessary and directed by the Government.
Leads consulting services to members of professional staff and to the customer in the analysis and design data processing systems, management systems, scientific systems, and other related areas
Makes technical decisions on kinds of data to be gathered and methods to be used in data collection and analysis
Leads technical direction, guidance, and assistance to assigned projects, suggesting efficient approaches and methods for solving problems
Provides technical leadership for the integration or requirements, design and technology
Manages and ensures the technical integrity of the system baseline over time, continually updating it as various changes are imposed on the system during the lifecycle from development through deployment and operations and maintenance
In conjunction with system stakeholders, plans the verification efforts of new and unproven designs early in the development lifecycle to ensure compliance to established requirements
Supports the planning and test analysis of the DoD Certification/Accreditation Process (as well as other Government Certification and Accreditation (C&A) processes)
Develops analytical and computational techniques and methodology for problem solution
Prepares and presents written and oral reports
Prepares and presents proposals, or portions thereof, primarily in field of specialty
Analyzes diagnoses, and recommends solutions to complex systems problems
Serves as lead analyst for research project
Develops advanced concepts of automation and information processing, display, control, and transfer for various subsystems
Conducts research and analysis of algorithms and defines data structures that lead to highly efficient system design parameters
Ultimately responsible for the technical integrity of work performed and deliverables associated with the Systems Engineering area of responsibility
Escalate issues to vendor and third-party entities, as necessary and directed by the Government.
CONTRACT REQUIRED QUALIFICATIONS
This following are REQUIRED for this position:
REQUIRED Professional Google Workspace Administrator Certification.
Public Trust Clearance and ITILv4 Foundation Certification by start date.
Advanced knowledge of enterprise email systems and SMTP servers and clients. Experience supporting and troubleshooting Google SMTP services, DMARC, encryption, routing, Anti-Spam/Virus, and delivery issues.
Interactions involve client negotiations and interfacing with senior management.
Decision-making and domain knowledge may have a critical impact on overall project implementation.
Possesses and applies expertise on multiple complex work assignments.
Assignments may be broad in nature, requiring originality and innovation in determining how to accomplish tasks.
Operates with appreciable latitude in developing methodology and presenting solutions to problems.
May supervise lower level staff if required
Proven ability to work independently in a full and/or partial remote environment with limited supervision and may supervise/lead others.
Possess the ability to communicate in both oral and written forms, demonstrating an ability to communicate effectively with all levels of staff as well as clients.
Maintain standard working hours per the DIGIT contract and to be available for meetings, and other collaborative efforts during working hours.
Demonstrated ability to apply comprehensive knowledge across key tasks and high impact assignments with the ability to use practical experience and training to determine how to accomplish tasks.
CONTRACT DESIRED QUALIFICATIONS
The following are DESIRED for this position:
Possess basic networking concept knowledge including, but not limited to, DNS, network topologies, firewalls, and proxies
Possess an understanding of mail routing concepts (SPF, MX records, DKIM, DMARC)
Scripting experience working with the Google Workspace API and command-line tools
Experience using ServiceNow for ticket management and inventory management.
Experience supporting industry standard software products
Must be willing to work a variety of shifts, including holidays as scheduled
Shall possess the ability to communicate in both oral and written forms, demonstrating an ability to communicate effectively with all levels of staff as well as clients.
Self-motivated, detail oriented, positive in approach, professional.
Strong aptitude for an independent working environment and high productivity rate.
Excellent communication and customer relationship skills.
Good analytical, interpersonal, and communication skills.
Ability to adapt to changing priorities and quickly learn new skills and techniques.
Proficiency in the Google Suite (Gmail, Calendar, Chat, Meet, Docs, Slides, Sheets), Microsoft Office (Word, Excel, PowerPoint, Outlook), Slack, and ServiceNow.
EDUCATION AND EXPERIENCE
The following are the education and experience required for this position:
10-15 years of experience and bachelor's degree
Experience as a remote worker demonstrating time management and self discipline with cultural change management and Agile mindset.
PHYSICAL REQUIREMENTSThe physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to do the following:
If remote, maintain home workspace in a safe manner, free from safety hazards and in line with information security policies.
Communicate verbally in person, over the phone or by video chat and clearly/succinctly in writing, primarily utilizing a keyboard.
Appear on camera for meetings with co-workers and government partners via video chat and ensure the protection of proprietary company and customer information is consistent with the company's expectation of information security.
Viewing computer screens and sitting for long periods of time.
Travel minimally (0-5%), via car or plane, which requires ability to manage luggage, laptop, and briefing materials (up to 25 pounds).
About Empower AI
It is the policy of Empower AI to provide equal opportunity in recruiting, hiring, training, and promoting individuals in all job categories without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other protected class or category as may be defined by federal, state, or local laws or regulations.
In addition, we affirm that all compensation, benefits, company-sponsored training, educational assistance, social, and recreational programs are administered without regard to race, color, religion, national origin, gender, age, disability, genetic information, veteran status, sexual orientation, or gender identity.
It is our firm intent to support equal employment opportunity and affirmative action in keeping with applicable federal, state, and local laws and regulations.
Empower AI is a VEVRAA Federal Contractor Show more details...
via Getwork
schedule_type: Full-time
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
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
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.
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 benefits at Google.
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...
• 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
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.
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 benefits at Google.
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...
via LinkedIn
posted_at: 22 days agoschedule_type: Full-time
This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Miami, FL, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle... WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum
This role may also be located in our Playa Vista, CA campus.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Miami, FL, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle... WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience in Cloud AI.
• Experience in building Machine Learning (ML) solutions.
• Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar) and in data structures, algorithms, and software design.
Preferred qualifications:
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience in technical consulting.
• Experience with deep learning frameworks (e.g., l, Torch, Caffe, Theano).
• Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, Extract Transform Load (ETL), reporting or analytic tools, and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• Understanding of the auxiliary practical concerns in production ML systems.
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 Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, travel to customer sites to deploy solutions, and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering to build and constantly lead excellence in our products. You will also travel up to 30% of the time for meetings, technical reviews, and onsite delivery activities.
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.
The US base salary range for this full-time position is $167,000-$256,000 + 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
• Become a trusted technical advisor to customers and solve Machine Learning challenges.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of business and technical stakeholders.
• Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
• Mentor customers on the practical challenges in Machine Learning systems, including feature extraction, feature definition, data validation, monitoring, and management of features or models.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form Show more details...
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Houston, TX, USA; Miami, FL, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle... WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.Minimum qualifications:
• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience in Cloud AI.
• Experience in building Machine Learning (ML) solutions.
• Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar) and in data structures, algorithms, and software design.
Preferred qualifications:
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience in technical consulting.
• Experience with deep learning frameworks (e.g., l, Torch, Caffe, Theano).
• Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, Extract Transform Load (ETL), reporting or analytic tools, and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• Understanding of the auxiliary practical concerns in production ML systems.
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 Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, travel to customer sites to deploy solutions, and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering to build and constantly lead excellence in our products. You will also travel up to 30% of the time for meetings, technical reviews, and onsite delivery activities.
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.
The US base salary range for this full-time position is $167,000-$256,000 + 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
• Become a trusted technical advisor to customers and solve Machine Learning challenges.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of business and technical stakeholders.
• Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
• Mentor customers on the practical challenges in Machine Learning systems, including feature extraction, feature definition, data validation, monitoring, and management of features or models.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form Show more details...
via Google Careers
posted_at: 4 days agoschedule_type: Full-time
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
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 an Enterprise Technical Sales Specialist, 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 will work closely with internal Cloud AI teams to remove roadblocks.
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 Show more details...
As an Enterprise Technical Sales Specialist, 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 will work closely with internal Cloud AI teams to remove roadblocks.
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 Show more details...
via LinkedIn
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: Sunnyvale, CA, USA; Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; New York, NY, USA; Los Angeles,
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: Sunnyvale, CA, USA; Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
Remote location(s): United States.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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form 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: Sunnyvale, CA, USA; Toronto, ON, Canada; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; New York, NY, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.
Remote location(s): United States.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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form Show more details...
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