Job Description
Qualifications
Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience
2 years of experience developing ML models and launching AI/ML powered products, with experience in data analytics
2 years of experience with software development in one or more programming languages (Java, C++, Python, or Go) or 1 year of experience with an advanced degree in an industry setting
Experience in Data analytics and Vertex AI within a cloud based environment
Benefits
The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
Your recruiter can share more about the specific salary range for your preferred location during the hiring process
Responsibilities
You will anticipate our customer needs and be empowered to act like an owner, take action and innovate
We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward
You will work with a team of experts to research, explore, and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for customers
Design and develop next-generation software systems for data analytics
Participate in, or lead design reviews with peers and stakeholders to decide on available technologies
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
Job description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA.Minimum qualifications:
• Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
• 2 years of experience developing ML models and launching AI/ML powered products, with experience in data analytics.
• 2 years of experience with software development in one or more programming languages (Java, C++, Python, or Go) or 1 year of experience with an advanced degree in an industry setting.
• Experience in Data analytics and Vertex AI within a cloud based environment
Preferred qualifications:
• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with AI/ML techniques including generative AI, Natural Language Processing (NLP), information retrieval, etc.
• Experience with Python, Notebooks, ML Frameworks (e.g., TensorFlow).
• Experience with data systems.
• Ability to drive process improvements, with excellent problem solving and analytical skills.
About The Job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
You will work with a team of experts to research, explore, and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for customers.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
• Design and develop next-generation software systems for data analytics.
• Participate in, or lead design reviews with peers and stakeholders to decide on available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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, ****** 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 .
Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience
2 years of experience developing ML models and launching AI/ML powered products, with experience in data analytics
2 years of experience with software development in one or more programming languages (Java, C++, Python, or Go) or 1 year of experience with an advanced degree in an industry setting
Experience in Data analytics and Vertex AI within a cloud based environment
Benefits
The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits
Our salary ranges are determined by role, level, and location
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
Your recruiter can share more about the specific salary range for your preferred location during the hiring process
Responsibilities
You will anticipate our customer needs and be empowered to act like an owner, take action and innovate
We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward
You will work with a team of experts to research, explore, and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for customers
Design and develop next-generation software systems for data analytics
Participate in, or lead design reviews with peers and stakeholders to decide on available technologies
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
Job description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA; New York, NY, USA.Minimum qualifications:
• Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
• 2 years of experience developing ML models and launching AI/ML powered products, with experience in data analytics.
• 2 years of experience with software development in one or more programming languages (Java, C++, Python, or Go) or 1 year of experience with an advanced degree in an industry setting.
• Experience in Data analytics and Vertex AI within a cloud based environment
Preferred qualifications:
• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with AI/ML techniques including generative AI, Natural Language Processing (NLP), information retrieval, etc.
• Experience with Python, Notebooks, ML Frameworks (e.g., TensorFlow).
• Experience with data systems.
• Ability to drive process improvements, with excellent problem solving and analytical skills.
About The Job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
You will work with a team of experts to research, explore, and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for customers.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. 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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
• Design and develop next-generation software systems for data analytics.
• Participate in, or lead design reviews with peers and stakeholders to decide on available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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, ****** 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 .
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer III, Generative AI, Data Analytics position is now open for candidates interested in the Software Developer Jobs sector. This role in Kirkland offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
