Google
Senior Software Engineer, AI/ML GenAI, Google Workspace
Google, New York, New York, us, 10261
Senior Software Engineer, AI/ML GenAI, Google Workspace
Location: New York, NY
Join Google as a Senior Software Engineer focused on Generative AI technologies within Google Workspace. You will work on cutting‑edge AI solutions that touch billions of users worldwide, collaborating with product managers, researchers and engineers across the company.
About the job Google’s software engineers develop the next-gen technologies that change how users connect, explore, and interact with information. This role focuses on Generative AI, large‑scale system design, distributed computing, and advanced analytics. You will design, implement, and ship scalable, high‑quality services that drive core productivity tools such as Gmail, Docs, Drive, Calendar, Sheets, and Meet.
Responsibilities
Write and test production‑grade code that supports GenAI solutions and ML infrastructure.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices and maintainability.
Contribute to documentation and educational content, updating it with product changes and user feedback.
Triage and debug product issues, analyzing root causes and impact on hardware, network, or service operations.
Design and implement GenAI solutions, leveraging ML infrastructure and evaluating trade‑offs between techniques and application domains.
Minimum Qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience programming in Python or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
1 year of experience with state‑of‑the‑art GenAI techniques (LLMs, multi‑modal, large vision models) or related concepts (language modeling, computer vision).
Preferred Qualifications
Master’s degree or PhD in Computer Science or a related field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Compensation US base salary range: $166,000 – $244,000, plus bonus, equity, and benefits.
Compensation details reflect base salary only and do not include bonus, equity, or benefits.
Equal Opportunity Statement Google is an equal‑opportunity workplace and 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 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
#J-18808-Ljbffr
Join Google as a Senior Software Engineer focused on Generative AI technologies within Google Workspace. You will work on cutting‑edge AI solutions that touch billions of users worldwide, collaborating with product managers, researchers and engineers across the company.
About the job Google’s software engineers develop the next-gen technologies that change how users connect, explore, and interact with information. This role focuses on Generative AI, large‑scale system design, distributed computing, and advanced analytics. You will design, implement, and ship scalable, high‑quality services that drive core productivity tools such as Gmail, Docs, Drive, Calendar, Sheets, and Meet.
Responsibilities
Write and test production‑grade code that supports GenAI solutions and ML infrastructure.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices and maintainability.
Contribute to documentation and educational content, updating it with product changes and user feedback.
Triage and debug product issues, analyzing root causes and impact on hardware, network, or service operations.
Design and implement GenAI solutions, leveraging ML infrastructure and evaluating trade‑offs between techniques and application domains.
Minimum Qualifications
Bachelor’s degree or equivalent practical experience.
5 years of experience programming in Python or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).
1 year of experience with state‑of‑the‑art GenAI techniques (LLMs, multi‑modal, large vision models) or related concepts (language modeling, computer vision).
Preferred Qualifications
Master’s degree or PhD in Computer Science or a related field.
5 years of experience with data structures and algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.
Compensation US base salary range: $166,000 – $244,000, plus bonus, equity, and benefits.
Compensation details reflect base salary only and do not include bonus, equity, or benefits.
Equal Opportunity Statement Google is an equal‑opportunity workplace and 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 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology and Engineering
Industries Information Services and Technology, Information and Internet
#J-18808-Ljbffr